基于多目标徒步旅行优化的WSN安全成簇路由算法

WSN Secure Clustering Routing Algorithm Based on the Multi-objective Hiking Optimization

  • 摘要: 由于无线传感器网络(WSN)通信频率和通信协议的开放性,以及WSN安全协议设计的轻量级特性,WSN安全问题面临挑战。基于徒步旅行优化算法(HOA)与模糊推理系统(FIS)提出了一种WSN安全成簇路由算法(HFSC),在延长WSN网络寿命的同时兼具一定的安全性。HFSC算法将簇头选举定义为多目标优化问题,提出基于非支配排序的多目标徒步旅行优化算法(NSHOA),通过综合考虑节点的多个自身性能状态指标求解候选簇头集,然后引入节点信任度指标使用FIS抉择最终簇头。MATLAB仿真结果表明,HFSC算法在保证安全成簇的同时,平均能耗比HiTSeC、ICITS和NSMMA算法分别降低了55.9%、39.2%和8.2%,网络生存周期分别延长了42%、35%和13%。

     

    Abstract: Wireless sensor networks(WSNs) face significant security challenges due to their open communication frequencies, protocols, and lightweight security design.This paper introduces a novel secure clustering routing algorithm, termed HFSC,which integrates the hiking optimization algorithm(HOA) with a fuzzy inference system(FIS) to improve both network longevity and security.HFSC addresses cluster head selection as a multi-objective optimization problem and employs a non-dominated sorting-based multi-objective HOA(NSHOA) to assess potential cluster heads using a range of node performance metrics.Subsequently, FIS is utilized to finalize cluster head selection by incorporating node trust values.MATLAB simulations demonstrate that HFSC achieves a reduction in average energy consumption by 55.9%,39.2%,and 8.2% compared to the HiTSeC,ICITS and NSMMA algorithms, respectively.Additionally, it extends network lifetime by 42%,35% and 13%,while ensuring secure clustering throughout the network.

     

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