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Analysis of Filtered Multicarrier Modulation Techniques Using Different Windows for 5G and Beyond Wireless Systems Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2024-3-26 Sourav Debnath, Samin Ahmed, S. M. Shamsul Alam
In contemporary wireless communication systems, multicarrier modulation schemes have become widely adopted over single-carrier techniques due to their improved capacity to address challenges posed by multipath fading channels, leading to enhanced spectral efficiency. Orthogonal frequency division multiplexing (OFDM), a prevalent multicarrier scheme in 4G, is favored for its ease of implementation,
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An Elliptic Curve Menezes–Qu–Vanston-Based Authentication and Encryption Protocol for IoT Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2024-3-22 Susovan Chanda, Ashish Kr. Luhach, J. Sharmila Anand Francis, Indranil Sengupta, Diptendu Sinha Roy
The exponential growth of the Internet of Things (IoT) has led to a surge in data generation, critical for business decisions. Ensuring data authenticity and integrity over unsecured channels is vital, especially due to potential catastrophic consequences of tampered data. However, IoT’s resource constraints and heterogeneous ecosystem present unique security challenges. Traditional public key infrastructure
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An Intelligent Energy-Efficient Data Routing Scheme for Wireless Sensor Networks Utilizing Mobile Sink Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2024-3-18 Hassan Al-Mahdi, Mohamed Elshrkawey, Shymaa Saad, Safa Abdelaziz
Data collection and energy consumption are critical concerns in Wireless sensor networks (WSNs). To address these issues, both clustering and routing algorithms are utilized. Therefore, this paper proposes an intelligent energy-efficient data routing scheme for WSNs utilizing a mobile sink (MS) to save energy and prolong network lifetime. The proposed scheme operates in two major modes: configure and
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A Novel Hybrid Feature Selection with Cascaded LSTM: Enhancing Security in IoT Networks Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2024-3-13 Karthic Sundaram, Yuvaraj Natarajan, Anitha Perumalsamy, Ahmed Abdi Yusuf Ali
The rapid growth of the Internet of Things (IoT) has created a situation where a huge amount of sensitive data is constantly being created and sent through many devices, making data security a top priority. In the complex network of IoT, detecting intrusions becomes a key part of strengthening security. Since IoT environments can be easily affected by a wide range of cyber threats, intrusion detection
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Resource Scheduling in URLLC and eMBB Coexistence Based on Dynamic Selection Numerology Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2024-2-28 Lei Wang, Sijie Tao, Lindong Zhao, Dengyou Zhou, Zhe Liu, Yanbing Sun
This paper focuses on the resource allocation problem of multiplexing two different service scenarios, enhanced mobile broadband (eMBB) and ultrareliable low latency (URLLC) in 5G New Radio, based on dynamic numerology structure, mini-time slot scheduling, and puncturing to achieve optimal resource allocation. To obtain the optimal channel resource allocation under URLLC user constraints, this paper
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Reliability-Constrained Task Scheduling for DAG Applications in Mobile Edge Computing Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2024-1-29 Liangbin Zhu, Ying Shang, Jinglei Li, Yiming Jia, Qinghai Yang
The development of the internet of things (IoT) and 6G has given rise to numerous computation-intensive and latency-sensitive applications, which can be represented as directed acyclic graphs (DAGs). However, achieving these applications poses a huge challenge for user equipment (UE) that are constrained in computational power and battery capacity. In this paper, considering different requirements
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Low Latency 5G IP Transmission Backhaul Network Architecture: A Techno-Economic Analysis Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2024-1-24 Ibrahim Alhassan Gedel, Nnamdi I. Nwulu
The steeply rising demand for mobile data drives the investigation of the transmission backhaul network architecture and cost for the fifth generation (5G) of mobile technologies. The proposed backhaul architecture will facilitate high throughput, low latency, scalability, low cost of ownership, and high capacity backhaul for 5G mobile technologies. This paper presents a transmission backhaul network
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Federated Medical Learning Framework Based on Blockchain and Homomorphic Encryption Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2024-1-5 Xiaohui Yang, Chongbo Xing
Federated learning-based medical data privacy sharing can promote the development of medical industry intelligence, but limited by its own security and privacy deficiencies, federated learning still suffers from a single point of failure and privacy leakage of intermediate parameters. To address these problems, this paper proposes a privacy protection framework for medical data based on blockchain
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Performance Modeling of Hyperledger Fabric 2.0: A Queuing Theory-Based Approach Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-12-30 Ou Wu, Zhongxing Wang, Zhongjin Li
Hyperledger Fabric (shortened to Fabric) is an open-source, enterprise-level, permissioned distributed ledger technology platform with a highly modular, configurable architecture. It supports writing smart contracts in general-purpose programing languages and has become the preferred choice for enterprise-level blockchain applications. However, the transaction throughput of the Fabric system remains
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Semi-supervised Learning for Automatic Modulation Recognition Using Haar Time–Frequency Mask and Positional–Spatial Attention Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-12-21 Hui Liu, Dan Zhong, Yuanpu Guo, Zehong Xu, Zhenlin Wu, Chunxian Gao
Automatic modulation recognition plays an important role in many military and civilian applications, including cognitive radio, spectrum sensing, signal surveillance, and interference identification. Due to the powerful ability of deep learning to extract hidden features and perform classification, it can extract highly separative features from massive signal samples. Considering the condition of limited
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Modeling the Causes of Power-Related Network Outages Using Discrete-Time Markov Chains Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-12-20 Ibrahim A. Gedel, Wahab A. Iddrisu
In this paper, we model the causes of power-related network outages in Ghana using discrete-time Markov chains. We used data consisting of 2,756 small-scale carrier telecommunications outages occurring in Ghana, with accompanying root causes over a period of 5 years and 8 months, from August 2015 to April 2021. The results indicate that the majority (n = 1,404) of the network outages were caused by
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Performance Analysis of Multiple-RIS-Based NOMA Systems Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-12-18 Huu Q. Tran, Quoc-Tuan Vien
In this paper, we present a study on a model of multirelay radio network system that utilizes reconfigurable intelligent surfaces (RISs). We investigate the use of nonorthogonal multiple access (NOMA) combined with cooperative RIS systems, using partial RIS selection (PRISs). Specifically, the RISs act as relays to forward data from the base station to the two users. The focus of this paper is to analyze
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Two-Round Selection-Based Bit Flipping Decoding Algorithm for LDPC Codes Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-11-28 Soufian Addi, Mostafa Belkasmi, Ahlam Berkani, Ahmed Azouaoui
This paper presents a novel iterative reliability-based bit flipping (BF) algorithm for decoding low-density parity-check codes. The new decoder is a single BF algorithm called two-round selection -based bit flipping. It introduces the idea of a two-round selection of the flipped bit, based successively on hard and soft received channel values. In the first stage, a set of unreliable bits is identified
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Gain of Spatial Diversity with Conjoint Signals in Arbitrarily Correlated Rayleigh Fading Channels Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-11-21 Edwin Omosa, Peter Akuon, Hongjun Xu, Vitalis Oduol
Coding gains for arbitrarily correlated signals in a spatial diversity system with conjoint signals are presented in this study. The basic form of the proposed signal synthesizer evenly produces phase changes in the output signals. The mixer is an orthogonal transformation matrix, which is energy preserving and blind to the channel correlation matrix. The idea is to synthesize additional conjoint signal
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Over-the-Air Computation with Quantized CSI and Discrete Power Control Levels Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-11-13 Christos Tsinos, Sotirios Spantideas, Anastasios Giannopoulos, Panagiotis Trakadas
In this paper, an Over-the-Air Computation (AirComp) scheme for fast data aggregation is considered. Multisource data are simultaneously transmitted by single-antenna mobile devices to a single-antenna fusion center (FC) through a wireless multiple-access channel. The optimal power levels at the devices and a postprocessing scaling function at the FC are jointly derived such that mean square error
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An Enhanced Ant Colony Algorithm-Based Low-Carbon Distribution Control Method for Logistics Leveraging Internet of Things (IoT) Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-11-11 You-wu Liu, Jun-long Li, Ming-yue Liu, Bian-bian Jiao
This paper presents a low-carbon vehicle routing optimization model to reduce energy consumption and carbon emissions in logistics and distribution. The model is solved using a hybrid algorithm of simulated annealing and ant colony optimization. It enhances the information pheromone concentration update process and directionality by introducing a carbon emission factor and a multifactor operator. Additionally
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Millimeter Wave Wireless Channel Knowledge Map Construction Based on Path Matching and Environment Partitioning Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-11-9 Zeyang Li, Qidong Gao, Wence Zhang, Xu Bao, Jing Xia, Zhaowen Zheng
Key technologies in 5G and future 6G, such as millimeter wave massive multiple-input multiple-output (MIMO), relies accurate channel state information (CSI). However, when the number of base station (BS) antenna increases or the number of users is large, it is rather resource-consuming to obtain the CSI. Channel knowledge map (CKM) is an emerging environment-aware wireless communication technology
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Image Compression for Wireless Sensor Network: A Model Segmentation-Based Compressive Autoencoder Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-10-25 Xuecai Bao, Chen Ye, Longzhe Han, Xiaohua Xu
Aiming at the problems of image quality, compression performance, and transmission efficiency of image compression in wireless sensor networks (WSN), a model segmentation-based compressive autoencoder (MS-CAE) is proposed. In the proposed algorithm, we first divide each image in the dataset into pixel blocks and design a novel deep image compression network with a compressive autoencoder to form a
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Enhanced Signal Area Estimation in Radio-Communication Spectrograms Based on Morphological Image Processing Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-10-9 Mohammed M. Alammar, Miguel López-Benítez, Janne J. Lehtomäki, Kenta Umebayashi
The concept of signal area (SA), defined as the rectangular time–frequency region in a spectrogram where a signal is detected, plays an important role in spectrum usage measurements. The need for signal area estimation (SAE) is justified by its role in the process of allocating white space spectrum to secondary users in dynamic spectrum access systems as well as in other interesting applications such
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Enhancing the Performance of 6LoWPAN-Based Wireless Sensor Networks (WSNs) with IEEE 802.11AH (Wi-Fi HaLow) Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-10-5 Sira W. Astour, Majd Badr Saleh
6LoWPAN allows IEEE 802.15.4 standard-based wireless sensor networks (WSNs) to be connected to the Internet through the Internet protocol IPv6; however, its performance decreases as the network grows in size due to complications such as the bottleneck problem; therefore this paper aims to improve the performance of 6LoWPAN-based WSNs by using the IEEE 802.11AH standard as a backbone in these networks
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Scheduling in Wireless Cooperative Localization Networks with Intelligent Eavesdroppers Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-9-28 Ming Liu, Mu Jia, Tingting Zhang
Location-based service based on wireless cooperative localization networks is becoming ubiquitous nowadays. However, since the fact that most location network nodes are resource-limited, recent investigations focus on the proper network scheduling strategies that can significantly enhance the system performance, including but not limited to localization accuracy and energy efficiency. In addition to
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Intelligent Deployment of Delay-Sensitive Service Function Chain Based on Parallelization and Improved Cuckoo Search Algorithm Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-9-12 Shuo Zhao, Qiaoyan Kang, Jianfeng Wang, Haiyan Hu, Youbin Fu
As one of the key focuses in 6G research, the space–air–ground integrated network incorporates a variety of technological frameworks. Network function virtualization allows network functions to be deployed on general servers in the form of software and creates a service function chain (SFC) according to user service requirements. In recent years, the deployment of SFC has become popular research due
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Analysis of Eavesdropping Region in Hybrid mmWave-Microwave Wireless Systems Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-9-2 Qianyue Qu, Yuanyu Zhang, Shoji Kasahara
Hybrid communication systems, where millimeter-wave (mmWave) links coexist with microwave links, have been an essential component in the fifth-generation (5G) wireless networks. Nevertheless, the open feature of the wireless medium makes hybrid systems vulnerable to eavesdropping attacks. Eavesdroppers in hybrid communication systems can enhance their attack performance by opportunistically eavesdropping
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Reducing the Sidelobes in Doppler-Range Beam Pattern and Controlling the Frequency Channel in SIAR Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-8-24 Pourya Yaghoubi Aliabad, Hossein Soleimani, Mohammad Soleimani
Synthetic impulse and aperture radar (SIAR) is a multi-input multi-output orthogonal multicarrier frequency radar, kind of frequency diverse array (FDA). This radar has omnidirectional emission in the transmitter and each receiver or receiving array can form a beam. The 4D matched filter of this radar’s circular arrays can reveal the range, elevation angle, azimuth angle, and Doppler. The existence
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Path Planning of Ant Colony Algorithm Based on Decision Tree in the Context of COVID-19 Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-8-22 Yi Shao, Xuefeng Deng, Lingqing Feng
Reasonable planning of travel routes can keep people away from crowded areas and reduce the probability of contracting the COVID-19. In view of the characteristics related to virus infection and human flow density, it can overcome the shortcomings of using the same pheromone initial value and slow initial convergence in route planning of ant colony optimization (ACO) algorithm. In this paper, the decision
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Toward Performant and Energy-Efficient Network Queries: A Parallel and Stateless Approach Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-8-21 Jiayao Wang, Ting Wang, Abdullah Al-Mamun, Junwu Zhu, Tao Zhang, Linhua Jiang, Tonglin Li, Dongfang Zhao
In many edge computing applications (e.g., wireless sensor networks, WSNs) where nodes are mostly battery-powered, queries’ energy consumption, and response time are two of the most important metrics, representing the network’s sustainability and performance, respectively. Conventional techniques used to focus on only one of the two metrics and did not attempt to optimize both in a coordinated manner
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A Network Fault Prediction-Based Service Migration Approach for Unstable Mobile Edge Environment Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-8-8 Haiyan Wang, Weihao Tang, Jian Luo
How to perform efficient service migration in a mobile edge environment has become one of the research hotspots in the field of service computing. Most service migration approaches assume that the mobile edge network on which the migration depends is stable. However, in practice, these networks often fluctuate greatly due to the fault of edge devices, resulting in unexpected service interruptions during
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Time Series Compression for IoT: A Systematic Literature Review Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-8-1 Marcos A. de Oliveira, Anderson M. da Rocha, Fernando E. Puntel, Gerson Geraldo H. Cavalheiro
Time series are widely used to record information in applications developed with Internet of Things (IoT) devices, where sensors are used to collect large amounts of data. These devices, even with the exponential technological evolution of the last years, present limitations for the handling of this data given the enormous volume of data collected. Low storage or processing capacity and environments
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Data Exchange Mechanism for Real-Time Object Detection in Cloud-Edge IoT System Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-7-25 Weiwei Miao, Zeng Zeng, Jin Huang, Shihao Li, Yuanyi Xia, Sibo Bi, Xilong Wang
Real-time target detection based on massive surveillance video data plays a key role in the smart grid, especially in power vision applications. With the indepth construction of power Internet of Things, centralized cloud applications pose challenges to real-time applications due to high bandwidth costs, resulting in delays and loads. Edge computing attempts to perform all the tasks on the edge. However
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Wearable Portable Flexible Antenna Covering 4G, 5G, WLAN, GPS Applications Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-7-21 Zhen Yu, Guodong Zhang, Xiaoying Ran, Ruirong Niu, Runzhi Sun, Ziheng Lin, Zewei Lu
This paper presents a multiband planar antenna with a third-order toroidal coupling structure that has potential applications in mobile communications. The antenna is fed using a coplanar waveguide structure. The radiating body model of the antenna is obtained by scaling and nesting twice in equal proportions based on a first-order toroid. The above patch was printed on a 42 × 55 × 0.1 mm3 polyimide
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Spatiotemporal Self-Attention-Based Network Traffic Prediction in IIoT Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-7-14 Xiaoteng Liu, Chuanhe Huang, M. Wasim Abbas Ashraf, Shidong Huang, Yirong Chen
The sixth-generation (6G) mobile communications are considered as a future network and very closed to the Industrial Internet of Things (IIoT) due to its low latency and high throughput. Massive nodes supported by 6G make up the complexity of the network. Moreover, the heterogeneous traffic brings difficulties to the network management. Long-term network traffic matrix (TM) prediction is a crucial
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Truth Discovery Technology for Mobile Crowd Sensing in Water Quality Monitoring Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-7-10 Zhenwei Chen, Ruixia Li, Demei Mao
The water quality of urban inland rivers is an important index of urban environmental health, which can reflect a city’s development level and its social and economic development. The water quality of these rivers strongly impacts the health and quality of life of the residents of urban and surrounding areas. Therefore, it is necessary to accurately assess the quality of water in urban inland rivers
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Using an Efficient Detection Method to Prevent Personal Data Leakage for Web-Based Smart City Platforms Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-7-10 Chih-Chieh Chiu, Pang-Wei Tsai, Chu-Sing Yang
Many Internet of Things and information exchange technologies bring convenience, cost-efficiency, and sustainability to smart city solutions. These changes have improved our day-to-day quality of life, with impacts on: (a) lifestyle (e.g., automation and robotic reaction), (b) infrastructure (efficient energy consumption), and (c) data-driven management (data sensing, collection, and investigation)
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Research on 5G Network Slicing Strategy for Urban Complex Environment Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-30 Zihang Gao
Focusing on the layout of the 5G mobile communication base station in the city center, we design a 5G city network slicing strategy for the three typical application scenarios with enhanced mobile broadband (eMBB), ultrareliable low-latency communications (URLLC), and massive machine type communications (mMTC). The strategy considers multiple important network performance indicators, including user
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RF Sign: Signature Anticounterfeiting Real-Time Monitoring System Based on Single Tag Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-27 Biaokai Zhu, Qing Wei, Lu Li, Zejiao Yang, Wei Liu, Zirong You, Jiangfan Zhou, Ping Li, Jie Song, Sanman Liu, Deng-ao Li
Signatures are one of the most important means to ensure the authenticity of documents and are commonly used in life and work. In identifying imitation handwriting, it is easy to make mistakes that cannot correctly identify and evaluate different writing characteristics. In this paper, from the perspective of dynamic handwriting detection, we propose RF sign, a signature anticounterfeiting real-time
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DDoS Attack Detection and Classification Using Hybrid Model for Multicontroller SDN Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-23 Tewelde Gebremedhin Gebremeskel, Ketema Adere Gemeda, T. Gopi Krishna, Perumalla Janaki Ramulu
A software-defined network (SDN) brings a lot of advantages to the world of networking through flexibility and centralized management; however, this centralized control makes it susceptible to different types of attacks. Distributed denial of service (DDoS) is one of the most dangerous attacks that are frequently launched against the controller to put it out of service. This work takes the special
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Relay Node-Based Routing Algorithm for Reducing Latency in Industrial Mobile Communication Network Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-20 Hatem S. A. Hamatta, Abdul Basit, K. A. Sharada, Y. Venkateswara Reddy, K. Ragavan, Mohiuddin Ali Khan, Arvind Kumar Shukla, Vivek Singh Kushwah, Roviel Berhane
Mobile network nodes perform time transfer during data packet performance in an asynchronous manner. Network nodes get packets for transmission from node sensors that reject the demands of node attackers. When packet loss occurs unexpectedly due to a network removal, it is exceedingly difficult to detect assaults and time forwarding. Attack detection accuracy deteriorates, and packet loss rates rise
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Distributed Space Shift Keying in Cooperative Wireless Networks: Capacity Analysis and Error Performance Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-17 Zahra Azad Khidr, Samah Abdulakreem Mustafa
In this study, a distributed fashion of space shift keying as an efficient cooperative framework is proposed and studied to address the main challenges in future cellular networks by providing high energy efficiency and meeting the demand growth with the lowest complexity and the highest performance. A comprehensive mathematical analysis has been performed to find a closed form for the channel capacity
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Energy-Efficient Compressed Sensing in Cognitive Radio Network for Telemedicine Services Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-17 Chettiyar Vani Vivekanand, T. M. Inbamalar, Kannan Pauliah Nadar, V. Kannagi, P. Arthi Devarani
Wireless body area networks (WBAN) are becoming a promising solution for health care applications. WBAN allows monitoring of patients continuously in their own comfort zone. These devices use the industrial, scientific, and medical band (ISM) for communication. This band is overcrowded due to the increasing number of wireless medical devices and other wireless devices occupying this band. This causes
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Multiband Cooperative Spectrum Sensing Meets Vehicular Network: Relying on CNN-LSTM Approach Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-16 Lingyun Lu, Xiang Li, Guizhu Wang, Wei Ni
A vehicular network is expected to empower all aspects of the intelligent transportation system (ITS) and aim at improving road safety and traffic efficiency. In view of the fact that spectrum scarcity becomes more severe owing to the increasing number of connected vehicles, implying spectrum sensing technology in vehicular network, i.e., cognitive vehicular network, has emerged as a promising solution
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A Clustering-Based Routing Protocol Using Path Pattern Discovery Method to Minimize Delay in VANET Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-14 Xiaoyun Xie, Yahya Dorostkar Navaei, Sajad Einy
In vehicular ad hoc networks (VANETs), vehicle-to-vehicle (V2V) communications can link vehicles to each other, and vehicle-to-infrastructure (V2I) messaging and communications can link roadside infrastructure such as routers. The vehicles in these networks act as relays that transmit critical messages in the network. Due to the high-speed movement of vehicles on the road, real-time messaging and minimizing
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Computer Vision-Based Intrusion Detection System for Internet of Things Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-12 Shema Alosaimi, Saad M. Almutairi, Fekadu Ashine Chamato
The Internet of Things (IoT) contributes to improving and automating the quality of our lives via devices and applications that progressively become more interconnected without user intervention in many areas such as smart homes, smart cities, smart transportation, and smart environment. However, IoT devices are vulnerable to cyberattacks. We cannot prevent all attacks, but they can be detected and
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Quality of Service Management for Fast Data Transmission in Industrial Mobile Communications Using PSO-Based Computer Vision Technique Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-9 Amirthalakshmi T.M, Sivakami Raja, Murali Subramanian, Christalin Nelson, Sujatha Rajkumar, Ramesh Makala, Walelign Dinku
Mobile ad hoc networks (MANETs) have rapidly expanded in recent years, mostly as a result of the mobile devices’ obvious low cost, heterogeneity, and flexibility. When communication networks are down or inaccessible, sensors can quickly create a reliable network that can be used as a rescue data system. Industrial mobile communication has developed into a significant study area for both industry and
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CBAM-YOLOv5: A Promising Network Model for Wear Particle Recognition Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-6-7 Lei He, Haijun Wei
The intelligent recognition technology for ferrography images is one of the important methods for diagnosis fault and state detection of machines. In allusion to these questions for the influences of wear particle images’ blurring, background intricacy, wear particle overlapping and lack of light, and others which lead to be the reason for the difficulty of achieving accurate identification, missed
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Dynamic Task Assignment Framework for Mobile Crowdsensing with Deep Reinforcement Learning Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-29 Yanming Fu, Kangheng Qi, Yuanquan Shi, Yuming Shen, Liqiang Xu, Xian Zhang
Task assignment is a key issue in mobile crowdsensing (MCS). Previous task assignment methods were mainly static offline assignment. However, the MCS platform needs to process dynamically changing workers and tasks online in the actual assignment process. Hence, a reliable dynamic assignment strategy is crucial to improving the platform’s efficiency. This paper proposes an MCS dynamic task assignment
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Lightweight APIT with Bat Optimization with Simulated Annealing Localization for Resource-Constrained Sensor Networks Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-27 T. Swarna Latha, K. Bhanu Rekha, Alachewn Wubie Ferede
In a wireless sensor network, information processing, and information acquisition, localization technology is the key to making it practically possible application. Approximate Point-in-Triangulation (APIT) is the most widely used localization estimation which has high accuracy in localizing the nodes and ease of deployment of nodes in the real-time environment. Though it has numerous key advantages
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An Approach for Three-Dimensional Sectorization in the Terminal Area Based on Airspace Function Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-24 Lili Wan, Wenjing Ye, Can Xu, Jiangchen Li, Xiao Huang, Wenjian Gong, Yong Tian
As explainable artificial intelligence (XAI) has grown in popularity, it has become possible to more clearly explain the functional correspondence between airspace and traffic flow, which can alleviate the contradiction between the continuously increasing traffic demand in the terminal area and the limited airspace capacity; this paper studies the three-dimensional sectorization in the terminal area
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A Review of Intelligent Vision Enhancement Technology for Battlefield Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-19 Yufeng Wu, Yanjun He, Ning Li, Guowei Wang, Longfei Zhang, Fuquan Zhang, Yifan Zhu
This paper reviews the application of intelligent vision enhancement technology in the battlefield environment and explores new research directions. This paper mainly introduces three parts. First, we introduce a solution for enhancing the battlefield situation and using head-mounted displays for soldier combat. Second, we summarize three core technologies supporting intelligent vision enhancement
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Hybrid Low-Rank Tensor CP and Tucker Decomposition with Total Variation Regularization for HSI Noise Removal Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-17 Luo Xuegang, Lv Junrui, Wang Bo, Wang Juan
The acquired hyperspectral images (HSIs) are affected by a mixture of several types of noise, which often suffer from information missing. Corrupted HSIs limit the precision of the subsequent processing. In this paper, the weighted Total Variation-regularized Hybrid Model of CP and Tucker (WTV-HMCT) is proposed to accurately identify the intrinsic structures of the clean HSIs. By jointly minimizing
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A Model Predicting CRM Resource Effect on Business Performance through CRM Capabilities Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-13 Yifan Wang
This study employs the CRM measurement model to the context of customer relationship management (CRM). It is aimed at indirectly examining the relationships between various resources of CRM and business performance. Additionally, this study is aimed at contributing to marketing research by placing an emphasis on CRM technology and their impact on performance. Through collecting secondary data, the
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Immersive Multimedia Art Design Based on Deep Learning Intelligent VR Technology Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-12 Ying Zhang
The rapid development of computer science has led to the rapid development of new media technology. Among them, VR technology is sought after by the vast market for its multidimensional experience and immersive model. VR technology plays an important role in today’s art exhibition and presentation. However, in the process of transforming 2D images into 3D models, traditional VR technology has some
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Human Motion Recognition in Dance Video Images Based on Attitude Estimation Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-11 Nian Li, Shekhar Boers
With the deep integration of science and technology and culture, the estimation of human movements in dance video images will become an important application field of computer vision technology, which can be used not only for professional dancers’ movement correction, dance self-help teaching, and other application scenarios but also for athletes’ movement analysis. Therefore, it will greatly promote
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A Novel and Efficient Authentication Scheme Based on UAV-UAV Environment Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-11 Yuanyuan Zhang, Lingzhe Meng, Jialing Gan, Zhihao Huang
Nowadays, unmanned aerial vehicles (UAVs) are used in various fields due to their high maneuverability and low cost of construction and use. With the development of UAV technology, it has become a trend for UAVs to cooperate with each other to complete assigned tasks. Multiple UAVs are combined according to a certain structure, and through the information sharing between them, a cooperative effect
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Big Data Analytics, Processing Models, Taxonomy of Tools, V’s, and Challenges: State-of-Art Review and Future Implications Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-10 Sandeep Dasari, Rajesh Kaluri
In the current digital era, data is budding tremendously from various sources like banks, businesses, education, entertainment, etc. Due to its significant consequence, it became a prominent proceeding for numerous research areas like the semantic web, machine learning, computational intelligence, and data mining. For knowledge extraction, several corporate sectors depend on tweets, blogs, and social
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An Efficient Pairing-Free Certificateless Signature Scheme with KGC Trust Level 3 for Wireless Sensor Network Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-9 Hong Zhao, Xinyu Zhang, Zhaobin Li, Zhanzhen Wei
With the widespread adoption of wireless sensor networks (WSN), the security of the WSN has been a wide concern. Certificateless signature eliminates the certificate management problem and key escrow problem and is considered a feasible solution to solve the data integrity and authentication of WSN. Recently, Thumbur et al. proposed an efficient pairing-free certificateless signature scheme, and Xu
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Forest Health Consumption Satisfaction Evaluation with IPA and Factor Analysis Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-8 Bin Liu, Runyu Wang, Jiehua Lv
To evaluate the current status of forest health and consumption of the elderly, this work used the questionnaire survey method to collect 587 valid questionnaires about the status of forest health and consumption of the elderly in the capital cities of the three northeastern provinces. This work constructs an importance performance analysis (IPA) quartile and factor analysis satisfaction evaluation
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Indoor and Outdoor Seamless Positioning Technology Based on Artificial Intelligence and Intelligent Switching Algorithm Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-8 Pengfei Wang, Weidong Li, Xiuhui Diao
Navigation and positioning is a new growth point of wireless services. And seamless positioning is the current development trend of navigation and positioning services. In view of the problems that dynamic handover cannot be performed during site movement, STA only selects the optimal AP according to the indication of received signal strength, and the handover delay is too long. This paper proposes
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The HRM Model Based on Competency Model in the Context of New Age Intelligence Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-8 Zhihua Zhang
In the new era of rapid technological development, new technologies are emerging: mobile positioning technology, face recognition technology, two-dimensional code technology, artificial intelligence technology, etc. In the trend of the times, these emerging technologies continue to penetrate into people’s daily life and influence their social habits. At present, the shadow of emerging technologies
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Intelligent Construction of Hospital Management Organization Based on Communication Technology and Information Fusion Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-5 Wenyan Zhang, Xiujie Chen, Yan Zhang, Hao Hua
With the mature application of 5G communication and the development of artificial intelligence, the deep integration of modern hospital management and information technology has been fully realized. Therefore, this paper explores the organizational structure and system design of our institute and implements the construction and operation of the information system according to the concept of “management
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An Enhanced Deep Reinforcement Learning-Based Global Router for VLSI Design Wirel. Commun. Mob. Comput. (IF 2.146) Pub Date : 2023-5-5 Saijuan Xu, Liliang Yang, Genggeng Liu
Global routing is a crucial step in the design of Very Large-Scale Integration (VLSI) circuits. However, most of the existing methods are heuristic algorithms, which cannot conjointly optimize the subproblems of global routing, resulting in congestion and overflow. In response to this challenge, an enhanced Deep Reinforcement Learning- (DRL-) based global router has been proposed, which comprises the