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Mobile sink-based energy efficient cluster head selection strategy for wireless sensor networks

机译:基于移动水槽的无线传感器网络的节能集群头选择策略

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摘要

Energy efficient routing protocol is the requirement of today's wireless sensor networks. Various protocols have been developed in order to create an energy efficient wireless sensor network, but still some loopholes exist in this domain and energy hole is one of them. Energy hole refers to the early energy diminution of those nodes that are near to the sink. This study introduced a mobile sink based energy aware clustering mechanism to enhance the lifetime of the network by overcoming the issue of energy holes. In proposed work, the network is initially divided into the number of rectangular regions and each region is comprised of one cluster head (CH). The nature-inspired firefly optimization algorithm is used to select cluster heads where residual energy, average node to node distance and distance from the node to sink are the decisive parameters of the process. The sink moves in the observing field after estimating the centroid location of the CHs. The performance of the proposed work is compared with the LEACH, LEACH-GA, A-LEACH, MIEEPB, and MSIEEP by using Matlab simulation platform. The result section represents the proficiency of the proposed MSECA protocol over traditional techniques in term of network lifetime, packet delivery ratio and packet delay.
机译:节能路由协议是当今无线传感器网络的要求。已经开发了各种协议,以便创建节能无线传感器网络,但在该域中仍然存在一些漏洞,并且能量孔是其中之一。能量孔是指靠近水槽的节点的早期能量减少。本研究介绍了一种基于移动汇的能量感知聚类机制,通过克服能量孔的问题来增强网络的寿命。在提出的工作中,网络最初被分成矩形区域的数量,每个区域由一个簇头(CH)组成。自然启发的萤火虫优化算法用于选择群集头,其中剩余能量,平均节点到节点距离和从节点到沉没的距离是该过程的决定性参数。在估计CHS的质心位置后,水槽在观察场中移动。通过使用MATLAB仿真平台,将所提出的工作的性能与Leach,Leach-Ga,A-Leach,MieePB和MSIeep进行比较。结果部分代表了网络生命周期,分组传递比率和分组延迟期间对传统技术的提出的MSECA协议的熟练程度。

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