无线传感器网络具有广泛的应用,然而如何有效部署无线传感器节点,提高节点利用率和网络覆盖率,仍是一个亟待解决的问题.针对传统无线传感器网络部署方法存在节点冗余率高、覆盖率低等问题,以网络覆盖率为优化目标,将烟花算法良好的结果搜索能力与分布式高效的计算速度相结合,实现对网络覆盖率优化模型的高效求解.实验表明,该算法相比于普通的烟花算法具有更好的计算结果和更快的收敛速度.%Wireless sensor networks have a wide range of applications,however,how to effectively deploy wireless sensor nodes,improve the utilization of nodes and network coverage,is still an urgent problem to be solved.Traditional wireless sensor network deployment method has high node redundancy rate and low network coverage.This paper proposed distributed firework algorithm for wireless sensor network coverage optimization.Combined the good results search ability of firework algorithm and the efficient speed of distributed computing,solved the model efficiently.Experimental results show that the algorithm is better than the general algorithm and the convergence rate is faster.
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