无线传感器网络中基于移动代理的信息驱动的多分辨率算法研究

胡海峰; 杨震

doi:10.3724/SP.J.1146.2006.00110

无线传感器网络中基于移动代理的信息驱动的多分辨率算法研究

doi: 10.3724/SP.J.1146.2006.00110

胡海峰,
杨震

基金项目:

国家863计划基金(2002AA121068)资助课题

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出版历程
- 收稿日期: 2006-01-23
- 修回日期: 2006-09-13
- 刊出日期: 2007-04-19

Study of Mobile-Agent-Based Information-Driven Multiresolution Algorithm in Wireless Sensor Networks

摘要

摘要: 该文提出了一种适用于无线传感器网络的基于移动代理的信息驱动的多分辨率(MAIDM)算法，以提高目标跟踪过程中数据处理的精度和容错性，并满足无线传感器网络对节能方面的要求。该文在以簇为逻辑结构的无线传感器网络中，移动代理根据各节点信息贡献量的估计,使用多分辨率算法收集、处理节点数据，并根据移动代理迁移路径上节点信息贡献量的最大值，动态决定其携带的数据量，以达到在节省能量的同时，提高跟踪的精度和容错性。仿真验证了MAIDM算法在精度和容错性方面比IDSQ算法有很大的提高，在节省能量方面比MA-CSIP算法更加有效。
- 无线传感器网络;移动代理;信息驱动;多分辨率
Abstract: in this paper, Mobile-Agent-based Information-Driven Multiresolution Algorithm (MAIDM) is presented for Target Tracking in Wireless Sensor Networks(WSN), in order to provide better accuracy and degree of fault tolerance while meeting the energy requirement. In a clustered-based wireless sensor networks，mobile agent is used to process data of nodes with multiresolution algorithm according to information contribution of different nodes，and the size of mobile agent is determined by the maximum value of the information contribution along the path of mobile agent. A balance has to be struck between the energy efficiency object and fault tolerance/accuracy object. Simulation results show that MAIDM performs better than IDSQ from perspectives of fault tolerance and accuracy, MAIDM s energy-efficient performance is better than MA-CSIP.

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参考文献(1)

[1] Liu J J, Liu J, REICH J E, and Cheung P C. Distributed group management for track initiation and maintenance in target localization applications[A]. Proceedings of the Second International Workshop on Information Processing in Sensor Networks (IPSN '03)[C], Palo Alto CA, 2003: 113-128. [2] Liu J, Liu J, and Reich J. Distributed group management in sensor networks: algorithms and applications to localization and tracking[J].Telecommunication Systems.2004, 26(2-4):235-251 [3] Zhao F, Guibas L, and Reich J. Collaborative signal and information processing: an information-directed approach[A][J].Proc. IEEE[C.2003, 91(8):1199-1209 [4] Liu J J, Reich J, and Zhao F. Collaborative in-network processing for target tracking[J]. J. Appl. Signal Process, 2003, 23(4): 378-391. [5] Liu J, Zhao F, and Petrovic D. Information-directed routing in ad hoc sensor networks[A]. In Proc. 2nd ACM Intl. Workshop on Wireless Sensor Networks and Applications (WSNA) [C], San Diego CA, 2003: 88-97. [6] Qi H, Xu Y Y, and Wang L X. Mobile-agent-based collaborative signal and information processing in sensor networks[J].Proc. IEEE.2003, 91(8):1172-1183 [7] Xu Y Y and Qi H R. Distributed computing paradigms for collaborative signal and information processing in sensor networks[J].Parallel Distrib Comput.2004, 64(8):945-959 [8] Qi H , Iyengar S S, and Chakrabarty K. Multi-resolution data integration using mobile agents in distributed sensor networks[J].IEEE Trans. on Systems Man Cybernet. Part C.2001, 31(3):383-391 [9] Tseng Y C, Kuo S P, Lee H W, and Huang C F. Location tracking in a wireless sensor network by mobile agents and its data fusion strategies[A]. IPSN'03[C], Palo Alto CA, 2003, Vol. 2634: 625-641. [10] Feeney L M and Nilsson M. Investigating the energy consumption of a wireless network interface in an ad hoc networking environment[A]. Proc. IEEE INFOCOM[C], Anchorage AK, 2001: 1548-1557.

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