智能传感器网络边界全目标k覆盖保持方法研究

Research on Maintenance Method of Smart Sensor Network Boundary

在智能传感器网络中,由于节点通常受限于有限的能源供应,而节点的活动和通信较为耗费能源,导致边界全目标k覆盖保持难度增大。为此,研究智能传感器网络边界全目标k覆盖保持方法。通过建立布尔感知模型,获取网络状态监测数据。通过部署传感器节点,最大程度感知目标区域。运用高阶泰森多边形法,计算节点的统治区域,获取统治区域多边形顶点到圆心的最远距离。运用网络覆盖模型计算网络覆盖率,选择出最优通信链路,构建簇头的能耗目标函数,通过传感器网络各个通信方案之间的相似度大小,实现对目标k覆盖保持。实验结果表明,实验组的传感器节点覆盖率为99%,覆盖率最高,能够提升监测区域的覆盖程度,且节点覆盖耗时仅为15.9ms,可以达到目标区域的全覆盖。

In smart sensor networks,nodes are usually limited by the limited energy supply,and the activities and communication of nodes consume more energy,which makes it difficult to maintain the full target k coverage at the boundary.For the purpose,the full-target K-coverage preserving method of intelligent sensor network boundary is studied.By establishing Boolean perception model,the network state monitoring data is obtained.Sensor nodes are deployed to maximize the perception of the target area.Using the high order Tyson polygon method,the rule region of the node is calculated,and the farthest distance from the vertex of the rule region polygon to the center of the circle is obtained.The network coverage model is used to calculate the network coverage,select the optimal communication link,construct the energy consumption objective function of the cluster head,and maintain the coverage of the target k through the similarity between each communication scheme of the sensor network.The experimental results show that the coverage rate of sensor nodes in the experimental group is 99%,the coverage rate of sensor nodes is the highest,which can improve the coverage degree of the monitoring area,and the node coverage time is only 15.9 ms,which can achieve the full coverage of the target area.