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K-LionER: meta-heuristic approach for energy efficient cluster based routing for WSN-assisted IoT networks
Cluster Computing ( IF 4.4 ) Pub Date : 2024-03-05 , DOI: 10.1007/s10586-024-04280-2
Rekha , Ritu Garg

In Internet of Things (IoT), WSNs are crucial components because they sense, acquire data and communicate with the base station. Because IoT connects devices with scarce resources, the energy needed for communication is viewed as one of the most challenging issues facing WSN assisted IoT. Clustering techniques have the potential to conserve energy and keep network nodes running for longer periods of time. Traditional hierarchical routing protocols are based on a random probability equation for cluster head (CH) selection. Moreover, there is scope to enhance the network lifespan by improving the CH selection approach. To address this, we present the hybrid K-means ant Lion optimization approach for Energy-efficient clustering based Routing (K-LionER) scheme for WSN supported by the IoT. The proposed K-LionER focuses on prolonging the network lifespan and improving energy efficiency. The clusters in WSN under investigation are created using K-means and each CH is chosen using ant lion optimization. CHs acquire the data from cluster members and transmit the agglomerated data to the base station. K-LionER selects the CH based on routing metrics, Remnant Energy (RE), distance between the CHs and Base station (CBD) and Intra-cluster Communication Cost (ICC). A comprehensive simulation is carried out on MATLAB 2017a. K-LionER’s accomplishment is contrasted with LEACH, ECFU and GADA-LEACH. The simulation’s outcome reveals gains in performance in various aspects, such as alive nodes, stability period, dead nodes and network lifetime metrics. In comparison to the aforementioned routing protocols, the proposed K-LionER protocol improves the network’s lifetime by 10% to 48%.



中文翻译:

K-LionER:用于 WSN 辅助物联网网络的基于节能集群的路由的元启发式方法

在物联网 (IoT) 中,无线传感器网络是至关重要的组件,因为它们感知、获取数据并与基站通信。由于物联网将设备与稀缺资源连接起来,因此通信所需的能源被视为无线传感器网络辅助物联网面临的最具挑战性的问题之一。集群技术具有节省能源并保持网络节点运行更长时间的潜力。传统的分层路由协议基于随机概率方程来选择簇头 (CH)。此外,通过改进 CH 选择方法还有机会延长网络寿命。为了解决这个问题,我们提出了混合 K-means ant Lion 优化方法,用于物联网支持的 WSN 的基于节能集群的路由 (K-LionER) 方案。拟议的 K-LionER 侧重于延长网络寿命和提高能源效率。所研究的 WSN 中的集群是使用 K 均值创建的,并且使用蚁狮优化来选择每个 CH。CH从集群成员获取数据并将聚集的数据发送到基站。K-LionER 根据路由指标、剩余能量 (RE)、CH 与基站之间的距离 (CBD) 以及集群内通信成本 (ICC) 选择 CH。在MATLAB 2017a上进行了综合仿真。K-LionER 的成就与 LEACH、ECFU 和 GADA-LEACH 形成鲜明对比。模拟结果揭示了各个方面的性能提升,例如活动节点、稳定期、死亡节点和网络生命周期指标。与上述路由协议相比,所提出的 K-LionER 协议将网络的生命周期提高了 10% 至 48%。

更新日期:2024-03-05
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