距离辅助的无线传感器网络节点覆盖判别模型

Distance-assistant node coverage identification model for wireless sensor networks

提出了距离辅助的节点覆盖判别模型DANCI(distance-assistant node coverage identification model),通过邻居节点到本节点的距离信息,判别该节点被邻居节点覆盖的程度。理论分析与仿真结果表明,在节点随机部署情况下,计算所得的覆盖度与节点位置已知情况下,其覆盖度的最大误差仅为6.396 0%。相对于邻居节点个数与最近邻居距离覆盖判别方法,极大提高了覆盖判别的精确性。

A distance-assistant node coverage identification model was proposed which adopts distance information be-tween the node and its neighbors to identify nodes coverage without using any location information.Theory analysis and simulation results are presented to evaluate the proposed DANCI model.It is shown that in randomly deployed sensor networks,the maximum error between DANCI model and location information-aware strategy is 6.396 0%,and the nodes coverage accuracy improves significantly compared to neighbor number-based scheme and nearest neighbor-based scheme.