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A novel routing recovery strategy based on particle swarm algorithm for wireless sensor networks with multiple mobile sinks

机译:基于粒子群算法的多移动宿无线传感器网络路由恢复策略

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In the wireless sensor networks with multiple mobile sinks, the movement of sinks or failure of sensor nodes may leads to the breakage of existing routes. In order to repair broken path with lower communication overhead in terms of both energy and delay, we propose an efficient routing recovery protocol with endocrine cooperative particle swarm optimization algorithm to establish and optimize the alternative path. With this method, the alternative path from source nodes to the sink with the optimal QoS parameters can be selected. Simulation results demonstrate that ECPSOA can adapt to rapid topological changes with multiple mobile sinks, while decreasing communication overhead and efficiently reducing the energy consumption.
机译:在具有多个移动接收器的无线传感器网络中,接收器的移动或传感器节点的故障可能会导致现有路由的中断。为了在能量和延迟方面以较低的通信开销修复断开的路径,我们提出了一种有效的路由恢复协议,该协议采用内分泌协作粒子群优化算法来建立和优化替代路径。使用此方法,可以选择具有最佳QoS参数的从源节点到宿的替代路径。仿真结果表明,ECPSOA可以适应具有多个移动接收器的快速拓扑变化,同时减少通信开销并有效降低能耗。

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