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无线传感器网络中,干扰导致数据重传,不利于传感器节点间通信.针对三维k-连通无线传感器网络通信干扰严重的问题,提出一种容错低干扰的拓扑控制算法.将节点与基站间的顶点不相交路径数作为容错指标,以降低网络干扰、保证各节点与基站间双向容错为优化目标,同时采用遗传算法的交叉和变异算子,构造了一个粒子群优化算法,用于从3D k-YG算法构建的容错网络中求解一种合理的功率分配方案.通过仿真实验对所提算法性能进行验证.实验结果表明,所提算法不仅能构建容错拓扑结构,而且有效地降低了网络干扰.
In wireless sensor networks, the interference leads to data retransmission, which is not conducive to the communication between sensor nodes.Aiming at the problem of serious interference of communication in the three-dimensional k-connected wireless sensor networks, a fault tolerant and low-interference topology control algorithm is proposed. Disjoint number of paths as a fault tolerance index to reduce network interference and ensure that both nodes and the base station bidirectional fault tolerance as the optimization goal, and using genetic algorithm crossover and mutation operator, constructed a particle swarm optimization algorithm for 3D k- YG algorithm to solve a reasonable power allocation scheme.Through the simulation experiment, the performance of the proposed algorithm is verified.The experimental results show that the proposed algorithm can not only construct a fault-tolerant topology, but also effectively reduce the network interference.