基于布谷鸟搜索算法的无线传感器通信网络增强型节能多径路由协议

D. Raj, P. Sumathi
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引用次数: 15

摘要

高效节能路由是无线传感器通信网络研究的热点之一,其应用价值和面临的挑战吸引了众多研究者的关注。无线传感器网络在其地形区域包含多个节点。降低WSCN上的能量消耗具有重要意义,因为节点是由电池供电的。这一领域的研究人员提出了各种研究方法。本研究采用了一种基于生物启发的计算范式——布谷鸟搜索算法来寻找最节能的路径并进行路由。在确定所提出的路由协议的性能时,考虑了几个性能指标,如吞吐量、分组传送率、能耗和延迟。采用NS2进行了仿真,结果表明所提出的路由协议在平均吞吐量和平均能耗方面具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Energy Efficient Multipath Routing Protocol for Wireless Sensor Communication Networks Using Cuckoo Search Algorithm
Energy efficient routing is one of the major thrust areas in Wireless Sensor Communication Networks (WSCNs) and it attracts most of the researchers by its valuable applications and various challenges. Wireless sensor networks contain several nodes in its terrain region. Reducing the energy consumption over the WSCN has its significance since the nodes are battery powered. Various research methodologies were proposed by researchers in this area. One of the bio-inspired computing paradigms named Cuckoo search algorithm is used in this research work for finding the energy efficient path and routing is performed. Several performance metrics are taken into account for determining the performance of the proposed routing protocol such as throughput, packet delivery ratio, energy consumption and delay. Simulation is performed using NS2 and the results shows that the proposed routing protocol is better in terms of average throughput, and average energy consumption.
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