传感网络失联覆盖盲区检测的仿真分析

Lost in Sensor Network Coverage Blind Spot Detection Simulation Analysis

在对无线传感网络覆盖盲区检测优化的研究过程中,由于采用传统算法进行检测时,计算量较大,无法对大范围的无线传感网络检测。为解决上述问题,提出了一种改进分布式算法的无线传感网络覆盖盲区检测方法。上述方法依据传感器节点不同的物理特性组建无线传感网络的感知模型,并定义无线传感网络的感知区域强度,对无线传感网络中覆盖盲区所有的边界节点进行判定,将分布式算法和几何理论相融合,计算并得到无线传感网络中覆盖盲区的边界弧和边界端点,实现改进分布式算法的无线传感网络覆盖盲区检测方案。实验结果证明,改进分布式算法的无线传感网络覆盖盲区检测方法能有效地提高覆盖盲区的检测正确率。

In the blind spot detection for wireless sensor network coverage of the research process, as a result of the current algorithm for testing, the large amount of calculation and is not adapted to the widespread network detec- tion problem. To this end, this paper proposes a distributed algorithm based on improved wireless sensor network cov- erage blind spot detection method. The method based on sensor nodes of different physical characteristics to form a perception model of wireless sensor network, on the basis of the definition of wireless sensor network＇s perception of the area intensity, the distributed algorithm and several He LiBlind area for wireless sensor network coverage to iden- tify all the boundary nodes, computing and wireless sensor network coverage blind area in the boundary of the arc and boundary endpoints, implements the algorithm based on improved distributed wireless sensor network coverage blind spot detection scheme. Experimental simulation prove that based on improved distributed algorithm for wireless sensor network coverage blind spot detection method can effectively increase the detection accuracy of cover blind area.