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针对无线传感器网络(Wireless Sensor Network,WSN)汇聚节点部署问题,提出一种新的选址算法。首先采用分裂法降低区间数学的超宽度问题,然后利用单调性测试、选择策略确定包含最优解的子区间集,最后结合粒子群算法,加快全局寻找最优解的速度,同时采用CCLO算法动态调度节点实现能量均衡,从而用于解决WSN汇聚节点选址问题。仿真实验表明,该方法提高了WSN汇聚节点部署的准确性和鲁棒性,在提高了网络覆盖率、连通性与复杂度的情况下,合理的选择汇聚节点位置,减少网络能耗和延长整个网络生命周期。
Aiming at the deployment of sink node in Wireless Sensor Network (WSN), a new location algorithm is proposed. Firstly, the splitting method is used to reduce the super-width of interval math. Then the monotonicity test and selection strategy are used to determine the subinterval set containing the optimal solution. Finally, the particle swarm optimization algorithm is used to speed up the global search for the optimal solution. At the same time, Scheduling nodes achieve energy balance, which is used to solve the WSN aggregation node location problem. Simulation results show that this method improves the accuracy and robustness of deployment of WSN sink node. With the improvement of network coverage, connectivity and complexity, the proposed method chooses the sink node location, reduces the network energy consumption and extends the whole Network life cycle.