基于覆盖概率模型的无线传感器网络覆盖算法.doc


基于覆盖概率模型的无线传感器网络覆盖
算法1
郭新明 1,2,赵蔷 1,蔡军伟 3
(1. 咸阳师范学院信息工程学院,陕西咸阳 712000;
2. 东南大学计算机科学与工程学院,南京 210096;
3. 宁波工程学院理学院,浙江宁波 315211)
摘要:针对面向数据采集的无线传感器网络中的覆盖面与能耗问题,提出一种基于覆盖概率
模型的无线传感器网络覆盖算法,该算法根据节点间的欧氏距离计算节点的有效覆盖率,进
而根据网络的覆盖质量要求选择覆盖监控区域的工作节点。仿真实验表明,该算法能够使用
较少的工作节点满足网络的覆盖要求,在减少盲区的同时,可以有效地降低整体网络的能耗,
延长网络的生存期。
关键词:无线传感器网络;覆盖概率模型;能耗;生存时间
中图分类号:
文献标识码:
Coverage algorithm based on coverage probability model for
wireless work
GUO Xinming1,2, ZHAO Qiang1, CAI Junwei3
(1. School of Information Engineering, Xianyang Normal University, Xianyang, Shanxi 712000,
China; 2. School puter Science and Engineering, Southeast University, Nanjing 210096,
China; 3. School of Science, Ningbo University of Technology, Ningbo, Zhejiang 315211, China)
Abstract: Due to the problem of energy consumption and coverage in wireless work (WSN)
for data acquisition, a coverage probability model-based coverage algorithm (CPMCA) is proposed. In
the CPMCA, the node’s effective coverage probability puted based on the Euclidean distance between
wireless nodes, and then working nodes of coverage monitoring area are selected based on the requirement
work coverage quality. The simulation results show that the CPMCA can meet the requirement work
coverage quality with less nodes, reduce the area work blind spots, reduce the energy consumption of
network effectively and prolong work lifetime