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Hybrid PSO and Evolutionary Game Theory Protocol for Clustering and Routing in Wireless Sensor Network
Journal of Sensors ( IF 1.9 ) Pub Date : 2020-10-31 , DOI: 10.1155/2020/8817815
Yu Song 1, 2 , Zhigui Liu 1 , Xiaoli He 3
Affiliation  

Compared with traditional networks, WSNs have more limited resources such as energy, communication, computing, and storage. The problem of how to achieve energy saving, extend network life cycle, and improve network performance under these limited resources has always been an issue of great interest in WSN research. However, existing protocols do not consider that sensor nodes within the BS threshold may not be clustered. These nodes can directly transmit data to the BS. This simplifies the cluster routing process of the entire WSN and saves more energy. This paper introduces an efficient, and energy-efficient, clustering and equalization routing protocol called the PSOLB-EGT protocol. This protocol introduces a new approach by combining improved particle swarm optimization (PSO) and evolutionary game theory (EGT) algorithms to address the problem of maximizing the network lifetime. The operation of the wireless sensor network is divided into an initialization phase and a data transmission phase. In the initialization phase of the wireless sensor network, the improved PSO algorithm is used to establish clusters and select CHs in areas other than the BS threshold. Entering the data transmission phase, we analyze this problem from the perspective of game theory. We use improved noncooperative evolutionary game theory to build models to solve the problem of the energy waste caused by routing congestion. The proposed PSOLB-EGT protocol is intensively experimented with a number of topologies in various network scenarios, and the results are compared with the well-known cluster-based routing protocols that include the swarm intelligence-based protocols. The obtained results prove that the proposed protocol has increased 9%, 8%, and 5% compared with the ABC-SD protocol in terms of network life, network coverage, and amount of data transmitted, respectively.

中文翻译:

无线传感器网络中用于簇和路由的混合PSO和进化博弈论协议

与传统网络相比,WSN的能源,通信,计算和存储等资源更为有限。在这些有限的资源下如何实现节能,延长网络生命周期并提高网络性能的问题一直是WSN研究中的一个重要课题。但是,现有协议不认为BS阈值内的传感器节点可能无法群集。这些节点可以直接向BS发送数据。这简化了整个WSN的群集路由过程,并节省了更多能量。本文介绍了一种称为PSOLB-EGT协议的高效,节能的群集和均衡路由协议。该协议通过结合改进的粒子群优化(PSO)和进化博弈论(EGT)算法引入了一种新方法,以解决网络寿命最大化的问题。无线传感器网络的操作分为初始化阶段和数据传输阶段。在无线传感器网络的初始化阶段,改进的PSO算法用于建立簇并选择除BS阈值以外的区域中的CH。进入数据传输阶段,我们从博弈论的角度分析了这个问题。我们使用改进的非合作进化博弈理论来构建模型,以解决由路由拥塞引起的能源浪费问题。在各种网络情况下,对提议的PSOLB-EGT协议进行了大量的拓扑实验,并将结果与​​包括基于群智能的协议在内的众所周知的基于群集的路由协议进行比较。获得的结果证明,与ABC-SD协议相比,该协议的网络寿命,网络覆盖范围和传输的数据量分别增加了9%,8%和5%。
更新日期:2020-11-02
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