延迟容忍移动传感器网络中基于概率复制的数据传输策略及其性能研究

张可; 曾家智; 刘伟

doi:10.3724/SP.J.1146.2009.00262

延迟容忍移动传感器网络中基于概率复制的数据传输策略及其性能研究

doi: 10.3724/SP.J.1146.2009.00262

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出版历程
- 收稿日期: 2009-03-04
- 修回日期: 2009-10-16
- 刊出日期: 2010-03-19

Data Delivery Scheme of DTMSN Based on Probability Replication and Its Performance Research

摘要

摘要: 该文提出了一种基于概率复制的数据传输策略PRD(Probability Replication Delivery scheme)用于空间中间断连通的延迟容忍移动传感器网络(DTMSN)数据传输。PRD由选择复制策略和队列管理组成，前者根据节点将消息传递给汇聚点的可能性，选择下一跳进行复制传输；队列管理则利用引入传输概率及复制数的消息生存时间决定队列中消息丢弃原则。仿真分析表明，与现有的几种数据传输策略相比，PRD能以较低的数据复制数及传输延迟获得较高的数据传输成功率。
- 延迟容忍移动传感器网络; 数据采集; 概率复制; 数据传输; 队列管理
Abstract: A new data delivery scheme-PRD (Probability Replication Delivery scheme) is proposed for pervasive data gathering in DTMSN (Delay Tolerant Mobile Sensor Networks) that networks with intermittent connectivity in space. PRD consists of two key components for data transmission and queue management, respectively. The former makes decisions on when and where to transmit data messages according to the node delivery probability. The latter employs the message survival time based on probability and delivery copies to decide dropping for minimizing transmission overhead. Simulation results show that the proposed PRD data delivery scheme achieves the higher message delivery ratio with the lower transmission overhead and data delivery delay than other DTMSN data delivering approaches.

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孙利民，李建中，陈渝，朱红松. 无线传感器网络[M]. 北京:清华大学出版社，2005: 4-57.Sun Li-ming, Li Jian-zhong, Chen Yu, and Zhu Hong-song.Wireless Sensor Network[M]. Beijing: Tsinghua UniversityPress, 2005: 4-57.[2]罗武胜，翟永平，鲁琴. 无线多媒体传感器网络研究[J].电子与信息学报.2008, 30(6):1511-1516浏览[3]Verdone R. A statistical analysis of wireless connectivityin three dimensions. IEEE International Conference onCommunications(ICC2005)[C]. Seoul, 2005: 3207-3210.[4]Wang Y, Lin F, and Wu H. Poster: efficient datatransmission in delay fault tolerant mobile sensor networks(DFT-MSN), Proceedings of IEEE InternationalConference on Network Protocols (ICNP05) [C]. Boston,2005: 1-2.[5]Lin Yun-feng, Li Bao-chun, and Liang Ben. Efficientnetwork coded data transmissions in disruption tolerantnetworks. Proceedings of IEEE INFOCOM 2008 [C].Phoenix, 2008: 2080-2188.Luo Pei-en, Huang Hong-yu, Shu Wei, Li Ming-lu, and WuMin-you. Performance evaluation of vehicular DTNRouting under realistic mobility models. WirelessCommunications and Networking Conference[C]. LasVegas, 2008: 2206-2211.[6]Shah R C, Roy S, Jain S, and Brunette W. Data MULEs:modeling a three-tier architecture for sparse sensornetworks. Proc. of the First International Workshop onSensor Network Protocols and Applications[C]. Anchorage,2003: 30-41.[7]Wang Y and Wu H. Delay/fault-tolerant mobile sensornetwork (DFT-MSN): A new paradigm for pervasiveinformation gathering[J]. IEEE Transactions on MobileComputing, 2006, 6(8): 1021-1034.[8]Zhang H, Shen H, and Tan Y. Optimal energy balanceddata gathering in wireless sensor networks. Parallel andDistributed Processing Symposium[C]. Long Beach, 2007:1-10.[9]Wang Y.[J].Wu H Y, and Dang H. Analytic study ofdelay/fault-tolerant mobile sensor networks (DFT-MSNs)[R]. Tech Report, Lafayette: CACS, University ofLouisiana at Lafayette.2006,:-[10]Zhu J Q, Cao J N, Liu M, Zheng Y, Gong H G, and ChenG H. Mobility prediction-based adaptive data gatheringprotocol. IEEE Global Telecommunications Conference[C].New Orleans, 2008: 1-5.[11]Zhang Ke, Zhang Wei, and Zeng Jia-zhi. Preliminarystudy of routing and date integrity in mobile Ad hoc UAVnetwork. IEEE International Conference on ApperceivingComputing and Intelligent Analysis[C]. Chengdu, 2008, 12:347-350.

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