基于能量变化和检测概率的传感器网络调度机制

doi:10.13190/jbupt.200901.85.lij

北京邮电大学学报 ›› 2009, Vol. 32 ›› Issue (1): 85-89.doi: 10.13190/jbupt.200901.85.lij

基于能量变化和检测概率的传感器网络调度机制

李捷雷敏董赞强

河南大学计算机与信息工程学院

收稿日期:2008-07-15 修回日期:2008-11-03 出版日期:2009-01-28 发布日期:2009-01-28
通讯作者: 李捷

The Scheduling Mechanism Based on Energy-varying and Detecting-probability in Sensor Networks

Received:2008-07-15 Revised:2008-11-03 Online:2009-01-28 Published:2009-01-28

摘要/Abstract

摘要：

提出了一种基于能量变化和节点检测概率信息的传感器网络调度机制，该机制依据网络节点能量变化量调节调度周期，引入了节点检测概率模型调整调度以提高网络数据收集准确性. 仿真实验验证了机制的优越性及可靠性。

关键词: 节点调度, 能量变化, 检测概率

Abstract:

A scheduling mechanism is presented based on energy-varying and detecting-probability in sensor networks. It ensures the relatively uniform energy consumption among nodes during the scheduling by adjusting the scheduling period according to the amount of the energy-varying in nodes, and simultaneously fulfils the uniform distribution of the scheduled nodes by adopting the distribution scheduling based on the local information of nodes in networks. Taking the distribution of the practical information in survey area into account, the mechanism enhances the accuracy of the collected information by introducing the detecting-probability model in networks nodes and guarantees the services degree for application. The superiority and reliability of the mechanism are testified in theoretic analysis and simulation experiment.

Key words: node scheduling, energy-varying, detecting-probability

李捷雷敏董赞强. 基于能量变化和检测概率的传感器网络调度机制[J]. 北京邮电大学学报, 2009, 32(1): 85-89.

参考文献

[1] Lu Jun, Suda T. Coverage-aware self-scheduling in sensor networks//Computer Communication, CCW'03. : IEEE, 2003: 117-123.
[2] Wu Yan, Fahmy S, Shroff N B. Energy efficient sleep/wake scheduling for multi-hop sensor networks: non-convexity and approximation algorithm//Proceedings of the IEEE INFOCOM 2007. Anchorage: IEEE, 2007: 1568-1576.
[3] Tillapart P, Yeophantong T, Techachaicherdchoo T, et al. Adaptive working schedule modeling for wireless sensor networks//Proceedings of the 2006 IEEE Aerospace Conference. Montana: IEEE, 2006: 1-9.
[4] Gupta V, Chung T H, Hassibi B, et al. On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage[J]. Automatic, 2006, 42(2): 251-260.
[5] Ha R W, Ho P H, Shen X S, et al. Sleep scheduling for wireless sensor networks via network flow model[J]. Computer Communication, 2006, 29(13-14): 2469-2481.
[6] Choi W, Das S K. Coverage-adaptive random sensor scheduling for application-aware data gathering in wireless sensor networks[J]. Computer Communication, 2006, 29(17): 3467-3482.
[7] Deng Jing, Han Y S, Heinzelman W B, et al. Balanced-energy sleep scheduling scheme for high-density cluster-based sensor networks[J]. Computer Communications, 2005, 28(14): 1631-1642.
[8] Visweswara S C, Dutta R, Sichitiu M L. Adaptive Ad hoc self-organizing scheduling for quasi-periodic sensor network lifetime[J]. Computer Communications, 2006, 29(17): 3366-3384.
[9] Pollin S, Bougard B, Mangharam R, et al. Optimizing transmission and shutdown for energy-efficient packet scheduling in sensor networks//Proceedings of the Second European Workshop on Wireless Sensor Networks(EWSN'05). Istanbul: EWSN, 2005: 290-301.
[10] Dai Fei, Wu Jie. On constructing k-connected k-dominating set in wireless Ad hoc and sensor networks[J]. Parallel and Distributed Computing, 2006, 66(7): 947-958.
[11] Yao Yingwei, Giannakis G B. Energy-efficient scheduling for wireless sensor networks[J]. IEEE Trans on Communications, 2005, 53(8): 1333-1342.

基于能量变化和检测概率的传感器网络调度机制

The Scheduling Mechanism Based on Energy-varying and Detecting-probability in Sensor Networks

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