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为了均衡消耗网络能量,提出了一种采用粒子群优化的无线传感器网络非均匀网格划分机制(NuGPM).将网络分为k层,相同层的网格长度相同,不同层之间的网格宽度不同,且离基站越近的层其网格宽度越大,采用粒子群优化算法搜索各层网格的最优宽度组合.该机制能使离基站越近的网格拥有越多的节点,从而拥有越多的能量转发上层网格的数据,进而改善基站附近的“热点”问题.仿真结果表明,NuGPM能均衡消耗网络能量,有效改善基站附近的热点问题,延长网络寿命.
In order to balance the energy consumption of the network, a non-uniform meshing mechanism (NuGPM) based on Particle Swarm Optimization (WSN) is proposed. The network is divided into k layers and the grids of the same layer have the same length. The grids between different layers Which is different from the base station, the larger the width of the grid is, the optimal width combination of the grids is searched by the particle swarm optimization algorithm.The mechanism can make the grids closer to the base station have more nodes, So that more energy is available to forward the data of the upper grid, thereby improving the “hotspot” problem near the base station. The simulation results show that NuGPM can consume network energy evenly, effectively improve hotspot issues near base stations, and prolong network lifetime.