Energy-Efficient Coverage Based on Probabilistic Sensing Model in Wireless Sensor Networks

被引：69

作者：

Chen, Jiming ^{[1
]}

Li, Junkun ^{[1
]}

He, Shibo ^{[1
]}

Sun, Youxian ^{[1
]}

Chen, Hsiao-Hwa ^{[2
]}

机构：

[1] Zhejiang Univ, Dept Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China

[2] Natl Cheng Kung Univ, Dept Engn Sci, Tainan 70101, Taiwan

来源：

IEEE COMMUNICATIONS LETTERS | 2010年 / 14卷 / 09期

关键词：

Coverage; intelligent algorithm; wireless sensor networks;

D O I：

10.1109/LCOMM.2010.080210.100770

中图分类号：

TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构];

摘要：

Network coverage is one of the most critical issues to implement Wireless Sensor Networks (WSNs). It is important to find out a sensor set with maximal residual energy to cover all points of interest (PoIs). This issue was named as minimum weight sensor coverage problem (MWSCP) based on a boolean disc model and a probabilistic sensing model in the literature. In this paper, we introduce intelligent algorithms to solve this problem, yielding a better solution to MWSCP to extend network lifetime. Simulation results are conducted to demonstrate the effectiveness of our proposed algorithm in terms of network lifetime over existing algorithms.

引用

页码：833 / 835

页数：3

共 10 条

[1]

Binary integer programming formulation and heuristics for differentiated coverage in heterogeneous sensor networks [J].