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I‐FBECS: Improved fuzzy based energy efficient clustering using biogeography based optimization in wireless sensor network
Transactions on Emerging Telecommunications Technologies ( IF 3.6 ) Pub Date : 2020-12-28 , DOI: 10.1002/ett.4205
Anshu Kumar Dwivedi 1 , Awadesh K. Sharma 1
Affiliation  

Cluster formation and optimal cluster head selection are two optimization problems in wireless sensor network (WSN) for prolonged lifetime. To address the above mentioned issue, biogeography based selection of cluster heads along with efficient cluster formation is propound in this article which improves the performance of fuzzy based enhanced clustering scheme (FBECS). A novel fitness function is formulated by making use of remnant energy, distance to base station (BS), and density around node for optimal cluster head selection using biogeography based optimization (BBO). A rank based mechanism is developed for non‐cluster head nodes for selecting their cluster head. Routing technique for region based forwarding is designed to improve the lifetime expectancy. The proposed I‐FBECS is compared with two state of the art protocols namely LEACH and FBECS. Simulation results reveal an improved stability period by 33.8% and 38.9% over FBECS and LEACH, respectively. The proposed I‐FBECS exhibits better load balancing and improvement in terms of more alive nodes per round, more packets forwarded to the BS, improved average remnant energy, and extended lifetime. The proposed I‐FBECS is suitable for applications where the BS is located at a distant place.

中文翻译:

I‐FBECS:在无线传感器网络中使用基于生物地理学的优化方法,改进了基于模糊的能效聚类

为了延长使用寿命,群集形成和最佳群集头选择是无线传感器网络(WSN)中的两个优化问题。为解决上述问题,本文提出了基于生物地理学的簇头选择方法以及有效的簇形成方法,从而提高了基于模糊的增强聚类方案(FBECS)的性能。通过使用剩余能量,到基站的距离(BS)和节点周围的密度来制定新的适应度函数,以使用基于生物地理的优化(BBO)进行最佳簇头选择。为非集群头节点开发了一种基于等级的机制,以选择其集群头。基于区域的转发的路由技术旨在提高预期寿命。提议的I-FBECS与两种最新的协议(即LEACH和FBECS)进行了比较。仿真结果表明,与FBECS和LEACH相比,稳定期分别提高了33.8%和38.9%。提议的I-FBECS表现出更好的负载平衡和改进,包括每轮更多的活动节点,更多的数据包转发到BS,改善的平均剩余能量和延长的使用寿命。提议的I-FBECS适用于BS位于较远地方的应用。
更新日期:2021-02-10
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