异构无线传感器网络中基于mayfly优化算法的高效相干能量路由协议

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Pathrose Jasmine Lizy, Natarasan Chenthalir Indra
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引用次数: 0

摘要

异构无线传感器网络(WSN)用于基础设施监测、动物监测、智能建筑和环境监测。已经进行了几项研究来检测能源效率问题,但都没有成功。在该模型中,使用K-means聚类算法对传感器节点进行聚类。MOA与节能路由协议结合使用来选择CH。由于节点无法与CH共存,因此形成子簇。为了将数据从CH传输到基站,每个子簇都选择一个单独的CH。当CH的能级变低时,CH的选择过程将再次开始,并且将根据有效路由协议的适合性评估来选择新的CH。移动传感器节点的性能是使用剩余能量、网络寿命、发送到信宿的数据包的数量和死节点的数量来确定的。该模型的性能优于现有的LEACH、LEACH-PSO和SEECP等技术。仿真结果表明,该模型使网络的寿命、节点的能耗率和每个节点的消耗率分别提高了4.12%、5.76%和6.18%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An efficient routing protocol for coherent energy using mayfly optimization algorithm in heterogeneous wireless sensor networks

An efficient routing protocol for coherent energy using mayfly optimization algorithm in heterogeneous wireless sensor networks
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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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