无线传感器网络中基于闭合环包围的边界节点检测

Closed-loop-based boundary node detection in wireless sensor network

由于无线传感器网络中可能会出现覆盖漏洞,导致网络无法提供高质量的数据,所以需要检测边界节点以准确找到覆盖漏洞进行修复。已有研究大多是通过传感器的坐标或者依据大量节点信息进行检测,现提出算法通过检测每个节点的邻居节点是否能形成包围检测节点的闭合环来判别当前节点是否为边界节点。该算法使得节点能够仅基于小邻域的信息自主地决定它是否是边界节点,使其适用于节点分布不均匀的网络中。仿真实验验证了该算法在识别准确率、降低通信量等方面的有效性。

Due to the possible coverage holes in wireless sensor network,the network cannot provide high-quality data,so it is necessary to detect boundary nodes to accurately find coverage holes for repair.Most of the existing research was done by using the coordinates of the sensor or a large amount of node information.The proposed algorithm took each node detect whether neighbor nodes could form a closed loop surrounding the detection node to judge whether the current node was a boundary node.The algorithm enabled the node to autonomously decide whether it was a boundary node based only on the information of the small neighborhood,making it suitable for networks with uneven node distribution.Simulation experiments verify the effectiveness of the algorithm in identifying accuracy and reducing communication traffic.