With the fast evolution of Internet of Things (IoT) applications, Wireless Sensor Networks (WSNs) have become a crucial part of modern infrastructure. The efficient provision of services and wiser use of resources are currently of great importance. WSNs consist of several sensor nodes that collaborate to monitor and send data to a central location known as a sink. The sink, also called a base station, serves as the endpoint for data transmission in each round. However, due to the limited computation, storage, and energy resources of sensor nodes, they often face challenges in changing clusters. Optimal selection of a node, aimed at minimizing network fragmentation and enhancing energy utilization, necessitates a sophisticated evaluation and computational procedure, demanding a substantial energy investment. Subsequently, the task at hand is the development of a system facilitating the connection of remote sensing sources to WSNs with minimal energy consumption. The primary goals of WSNs based on the IoT revolve around extending network longevity and enhancing energy efficiency. In the realm of IoT-based WSNs, where the efficiency of data collection and management is paramount, cluster-based methodologies have demonstrated their effectiveness. This investigation proposes the implementation of a most valuable player algorithm (MVPA) specifically tailored for IoT-based WSNs, taking into account diverse factors influencing node energy and network lifespan. The MVPA is a highly competitive optimization method that converges faster (with fewer function evaluations) and has a greater overall success rate. In this case, the optimum cluster head for an IoT-based WSN was chosen using an MVPA to maximize energy savings. Simulation results demonstrate that the recommended strategy, when compared to other current methods, increases the network lifetime by using the minimum amount of energy needed to function.

随着物联网 (IoT) 应用的快速发展，无线传感器网络 (WSN) 已成为现代基础设施的重要组成部分。有效提供服务和更明智地利用资源目前非常重要。WSN 由多个传感器节点组成，这些传感器节点协作监视数据并将数据发送到称为接收器的中央位置。宿也称为基站，作为每轮数据传输的端点。然而，由于传感器节点的计算、存储和能源资源有限，它们经常面临集群变化的挑战。节点的最佳选择旨在最大限度地减少网络碎片并提高能源利用率，需要复杂的评估和计算过程，需要大量的能源投资。随后，当前的任务是开发一个系统，以最小的能耗促进遥感源与无线传感器网络的连接。基于物联网的无线传感器网络的主要目标是延长网络寿命和提高能源效率。在基于物联网的无线传感器网络领域，数据收集和管理的效率至关重要，基于集群的方法已经证明了其有效性。这项研究建议实施专门为基于物联网的 WSN 量身定制的最有价值玩家算法 (MVPA)，同时考虑到影响节点能量和网络寿命的各种因素。MVPA 是一种极具竞争力的优化方法，收敛速度更快（函数评估次数更少）并且总体成功率更高。在这种情况下，使用 MVPA 选择基于物联网的 WSN 的最佳簇头，以最大限度地节省能源。仿真结果表明，与其他当前方法相比，推荐的策略通过使用运行所需的最少能量来延长网络寿命。