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

机译:带交会节点和移动接收器的集群间蚁群优化数据聚合算法优化

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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
机译:节能已成为无线传感器网络中的主要关键问题,也是大多数研究人员的主要研究领域。为了提高能源效率,在无线传感器网络中使用宿移动性和约束路径。为了解决这些优化问题,将群集间蚁群优化算法(ACO)与移动宿(MS)和会合节点(RN)一起使用。所提出的算法将比现有算法提高30%的网络生存时间,并在高度密集的网络中促进数据包的高精度交付。一种

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