Optimizing Inter Cluster Ant Colony Optimization Data Aggregation Algorithm with Rendezvous Nodes and Mobile Sink

Annu Ghotra
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引用次数: 7

Abstract

Energy conservation is becoming the main critical issue in wireless sensor network and also the main research area for most of the researchers. For improving the energy efficiency, sink mobility is used with constrain path in wireless sensor network. In order to solve these optimization problems, inter cluster Ant Colony Optimization Algorithm (ACO) is used with mobile sink (MS) and rendezvous nodes (RN). The proposed algorithm will improve 30% more network lifetime than the existing algorithm and prompts high accurate delivery of packets in highly dense network. a
具有汇聚节点和移动汇聚点的簇间蚁群优化数据聚合算法
节能已成为无线传感器网络中的关键问题,也是广大研究人员的主要研究方向。为了提高能量效率,在无线传感器网络中采用了带约束路径的sink迁移。为了解决这些优化问题,将移动汇聚节点(MS)和交会节点(RN)结合使用群间蚁群优化算法。该算法比现有算法提高了30%的网络生存时间,并在高密度网络中实现了高精度的数据包传输。一个
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