In the wireless ultraviolet sensor network, interference causes data retransmission, which is not conducive to communication between sensor nodes. Aiming at the serious communication interference problem of three-dimensional k-connected wireless ultraviolet light sensor network, this paper proposes a novel low-interference wireless ultraviolet network fault-tolerant topology control algorithm. The number of vertices disjoint paths between nodes and base stations is used as a fault-tolerance index to reduce network interference and ensure two-way fault tolerance between nodes and base stations. At the same time, genetic algorithm crossover and mutation operators are used to construct a particle swarm optimization algorithm, which is used to solve a reasonable power distribution scheme from the fault-tolerant network constructed by the 3D k-YG algorithm. The performance of the proposed algorithm is verified through simulation experiments. The experimental results show that the proposed algorithm can not only construct fault-tolerant topology, but also effectively reduce network interference.

在无线紫外传感器网络中，干扰会导致数据重传，不利于传感器节点之间的通信。针对三维k连接无线紫外光传感器网络通信干扰严重的问题，提出一种新型的低干扰无线紫外光网络容错拓扑控制算法。以节点与基站间不相交路径的顶点数作为容错指标，减少网络干扰，保证节点与基站间双向容错。同时利用遗传算法交叉和变异算子构建粒子群优化算法，用于从3D k-YG算法构建的容错网络中求解合理的配电方案。通过仿真实验验证了所提出算法的性能。实验结果表明，该算法不仅可以构建容错拓扑，而且可以有效降低网络干扰。