Sleep Scheduling based on Probabilistic Detection Model for Wireless Sensor Networks
Energy efficiency is a critical consideration in the design of low cost sensor networks. This paper studies the problem of extending the lifetime of the sensor networks as far as possible while maintaining the quality of network coverage. A systematical analysis on the relationship between the network lifetime and cover sets alternation is given, and by introducing the concept of time weight factor, the network lifetime maximization model is presented. Through the introduction of the solution granularity T, the network lifetime optimization problem is transformed into the maximization of cover sets. A solution based on NSGA-II is proposed. Compared with the previous method, which has the additional requirement that the cover sets being disjoint and results in a large number of unused nodes, our algorithm allows the sensors to participate in multiple cover sets, and thus makes fuller use of the whole sensor nodes to further increase the network lifetime. Simulation results are presented to verify thee approaches.
wireless sensor network sleep scheduling probabilistic detection model energy efficient
Jie Jia Ruiyun Yu Jie Li Linliang Zhao Guiran Chang
College of Information Science and Engineering Northeastern University Shenyang, China Software College Northeastern University Shenyang, China Computing Center Northeastern University Shenyang, China
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-6
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）