一种新型的无线传感器网络覆盖算法

摘要

在无线传感器网络中,传感器节点分布通常具有随机性和密集性,如何进行有效覆盖控制和节省能源是研究无线传感器网络的一个重要课题,提出了一种基于二进小波变换的无线传感器网络覆盖算法.将网络覆盖优化问题转化为一个离散信号模型,利用小波模极大值理论求解此信号的极值点位置.通过Matlab实验仿真,并分析了各个参数对实验结果的影响,表明网络在完全覆盖条件下该算法能有效除去冗余节点,求解的最小节点数比文献的算法要节省66％以上,从而降低了无线传感器网络能量和成本,从侧面验证了该算法具有一定的优越性.%The sensor node distribution usually has randomness and intensity in the wireless sensor network, how to effectively control nodes coverage and save energy is an important issue of the wireless sensor network. Then,proposing a coverage algorithm for wireless sensor networks has been proposed based on the dyadic wavelet transform. Network coverage optimization was turned into a model of a discrete signal, using the wavelet modulus maxima theory to solve the extreme points of this signal. Simulated the experiment results through Matlab, and analyzed the impact of the each parameters on the experimental results,the redundant nodes in the completely covered network can be effectively removed under the condition of the proposed algorithm. The minimum number of nodes can be saved more than 66% , which reduces the wireless sensor network energy and cost,and verifies the algorithm has advantages.