传感器网络中基于局部信号重建的目标计数算法

Target counting algorithm via local signal recovery in sensor networks

针对传感器网络中现有目标计数算法的不足问题,提出了一种基于局部信号重建的目标计数算法。该算法首先通过局部峰值搜索找出目标可能存在的区域;然后根据信号衰减特性和节点分布情况建立信号重建模型,并基于此模型寻求局部区域内的最佳目标分布估计;最后对各局部区域内的估计结果进行汇总,得到全网范围内的目标数量。仿真实验结果表明,该算法在计数精度、抗噪性和通信开销方面具有较好性能。

In view of the deficiencies of existing targets counting algorithms in sensor networks,a local signal recovery based target counting algorithm（LSR） was proposed.LSR firstly searched for the possible local area where targets may exist,and then established a local signal recover model according to signal attenuation characteristic and nodes’ distribu-tion.Finally,LSR sought the best target distribution estimation in each possible local area through the established model and obtained the target counting result by summarizing the estimations.Simulation results demonstrate that LSR pos-sesses good merits in counting precision,noise tolerance and energy consumption.