基于PSO和DE算法的混合细菌觅食算法在无线传感器网络中的最优簇头选择

Pub Date : 2022-01-01 DOI:10.4018/ijcini.301206
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引用次数: 0

摘要

网络寿命和能量约束是无线传感器网络应用的主要问题。传感器节点在通信过程中消耗更多的能量,影响网络的使用寿命。聚类是从聚类中选择最优簇头的技术。LEACH-C是无线传感器网络中的集群协议。在LEACH-C协议中应用BFA来形成最优集群。这种优化在翻滚过程中获得了更多的步骤,并且非常缓慢地达到全局最优解。这种方法直接影响网络的使用寿命。通过引入细菌觅食算法的混合方法,克服了上述局限性。将PSO和DE集成到LEACH-C算法中,以寻找最佳簇头。利用粒子群算法和DE算法对细菌的趋化行为进行了优化。与FA和BFPSO相比,所提出的方法增加了66%和77%的活动节点。
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Hybrid Bacteria Foraging Algorithm with PSO and DE algorithm for optimal Cluster head selection in Wireless Sensor Networks
Network lifetime and energy constraint are the main issues for the applications of Wireless Sensor Network. Sensor nodes spend more energy in the communication process and affect the network lifetime. Clustering is the technique for choosing the optimal cluster head from the clusters. LEACH-C is the clustering protocol in WSN. BFA is applied in the LEACH-C protocol to form the optimal clusters. This optimization obtains more number of steps in the tumbling process and reaches the global optimum solution very slowly. This method directly affects the network lifetime. The above limitations are overcome by introducing the hybrid approach of Bacteria foraging algorithm by integrating the PSO and DE is applied in LEACH-C algorithm for finding the optimal cluster head. The best foraging solution utilized in the chemotactic behavior of the bacterium by using PSO and DE algorithm. The proposed methodology increases by 66% and 77% of the alive nodes when compared to FA and BFPSO.
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