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。
Due to the problem of energy consumption and coverage in wireless sensor network （WSN） for data acquisition, a coy erage probability model-based coverage algorithm （CPMCA） is proposed. In the CPMCA, the node＇s effective coverage probabil- ity is computed based on the Euclidean distance between wireless nodes, and then working nodes of coverage monitoring area are selected based on the requirement of network coverage quality. The simulation results show that the CPMCA can meet the re- quirement of network coverage quality with less nodes, reduce the area of network blind spots, reduce the energy consumption of network effectively and prolong the network lifetime.
出处
《中国科技论文》
CAS
北大核心
2013年第4期316-320,共5页
China Sciencepaper
基金
陕西省科技厅自然科学基础研究计划资助项目(SJ08ZT14-8)
陕西省教育厅科学研究计划资助项目(09JK811)
咸阳师范学院专项科研基金资助项目(08XSYK335)
关键词
无线传感器网络
覆盖概率模型
能耗
生存时间
wireless sensor network
coverage probability model
energy consumption
lifetime
