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Energy Efficient Data Collection in Hierarchical Wireless Sensor Networks 被引量:2

Energy Efficient Data Collection in Hierarchical Wireless Sensor Networks
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摘要 The majority of the energy consumption by the sensors is the energy requirement for data transmission in Wireless Sensor Networks (WSNs).Therefore,introducing mobile collectors to collect data instead of multi-hop data relay is essential.However,for many proposed data gathering approaches,long data delay is the main problem.Hence,the problem of how to decrease the energy consumption and the data delay needs to be solved.In this paper,a low delay data collection mechanism using multiple mobile collectors is proposed.First,a self-organization clustering algorithm is designed.Second,sensor nodes are organized into three-level clusters.Then a collection strategy based on the hierarchical structure is proposed,which includes two rules to dispatch mobile collectors rationally.Simulation results show that the proposed mechanism is superior to other existing approaches in terms of the reduction in energy expenditure and the decrease in data delay. The majority of the energy consumption by the sensors is the energy requirement for data transmission in Wireless Sensor Networks (WSNs). Therefore, introducing mobile collectors to collect data instead of nmlti-hop data relay is essential. However, for rmny proposed data gathering ap-proaches, long data deNNy is the train problenm. Hence, the problem of how to decrease the energy consumption and the data deNNy needs to be solved. In this paper, a low deNNy data collection mechanism using multiple mobile collectors is pro- posed. First, a self-organization clustering algorithm is designed. Second, sensor nodes are organized into three-level clusters. Then a collection strategy based on the hierarchical structure is proposed, which includes two rules to dispatch mobile collec- tors rationally. Simulation results show that the proposed mechanism is superior to other existing approaches in terms of the reduction in energy ex-penditure and the decrease in data deNNy.
出处 《China Communications》 SCIE CSCD 2012年第9期79-88,共10页 中国通信(英文版)
基金 This paper was supported by the National Natural Science Foundation of China under Ca-ants No.60835001, No. 61104068 the Natural Science Foundation of Jiangsu Province, China un- der Crant No.BK2010200.
关键词 无线传感器网络 能源需求 数据采集 数据收集 能源消耗 传感器节点 数据传输 数据中继 WSNs energy consumption rrmltiplemobile collectors data delay
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  • 1YOUNIS O, FAHMY S. HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks[J]. IEEE Transactions on Mobile Computing, 2004,3 (4): 366-379.
  • 2Zhu Xudong,Li Hui,Liu Zhijing.Behavior Clustering for Anomaly Detection[J].China Communications,2010,7(6):17-23. 被引量:1
  • 3高德云,朱婉婷,方然.无线传感网中轻型简单网络管理协议(英文)[J].China Communications,2011,8(8):121-129. 被引量:2
  • 4OH S, IEE E, PARK S, et al. Corrnnmication Scheme to Support Sink Mobility in Multi-Hop Clustered Wireless Sensor Networks [C]// Proceedings of the 24th IEEE International Conference on Advanced Inforrmtion Networking and Applications: Apri120-23, 2010, Perth, WA. IEEE Press, 2010: 866-872.
  • 5YE G, YEH L, HUANG J. Hierarchical Role-Based Data Dissemination for Large-Scale Wireless Sensor Networks with Mobile Sinks [C]// Proceedings of the 8th PERCOM Workshops: March 29-Apri12, 2010, Mannheim IEEE Press, 2010: 129-134.
  • 6JAIN S, SHAH R, BRUNETTE W, et al. Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks[J]. IEEE Transactions on Systerrs, Man, and Cybernetics, Part C: Applications and Review, 2006, 31(3): 327-339.
  • 7LUO Jun, HUBAUX J. Joint Mobility and Routing for Lifetime Elongation in Wireless Sensor Networks [C]// Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Corrmunications Societies: March 13-17,2005, FL, USA. IEEE Press, 2005, 3: 13-17.
  • 8CHA TZIGIANNAKIS I, KINALIS A, NIKOLETSEAS S. Sink Mobility Protocols for Data Collection in Wireless Sensor Networks [C]// Proceedings of the 4th ACM International Workshop on Mobility Management and Wireless Access: October 2-6, 2006, Torrermlinos, Malaga, Spain. ACM Press, 2006: 52-59.
  • 9LUO Jun, PANCHARD J, PIORKOWSKI M, et al. MobiRoute: Routing Towards a Mobile Sink for Improving Lifetime in Sensor Networks [C]// Proceedings of the 2nd IEEE International Conference on Distnbuted Computing in Sensor Systems, San Francisco, CA, USA, 2006: 480-497.
  • 10HE Liang, XU Jingdong, YU Yuntao. Optimize Multiple Mobile Elerrents Touring in Wireless Sensor Networks [C]// Proceedings of the IEEE International Symposium on Parallel and Distnbuted Processing with Applications: August 10-12,2009, Chengdu. IEEE Press, 2009: 317-323.

二级参考文献13

  • 1刘俊锋,高随祥.基于网格的无线传感器网络分簇方法[J].计算机工程与设计,2007,28(9):2023-2025. 被引量:5
  • 2YAMATO J, OHYA J, ISHII K. Recognizing Human Action in Time-sequential Images Using Hidden Markov Model [C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992.
  • 3BOBICK A F, WILSON A D. A State-based Approach to the Representation and Recognition of Gesture [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(12): 1325-1337.
  • 4XIANG T, GONG S. Beyond Tracking: Modelling Activity and Understanding Behaviour [J]. International Journal of Computer Vision, 2006, 67(1 ): 21-51.
  • 5HAMID R, JOHNSON A, BATTA S, et al. Detection and Explanation of Anomalous Activities: Representing Activities as Bags of Event n-Grams [C]// Proceedings of IEEE Computer Society Conference on Computer Vtsion and Pattern Recognition, 2005: 1031-1038.
  • 6ZHONG H, SHI J, VISONTAI M. Detecting Unusual Activity in Video[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004: 819-826.
  • 7WANG Y, MORI G. Human Action Recognition by Semi- Latent Topic Models [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009.
  • 8BOIMAN O, IRANI M. Detecting Irregularities in Images and in Video[C]//Proceedings of IEEE International Conference on Computer Vision, 2005 : 462-469.
  • 9OLIVER N, ROSARIO B, PENTLAND A. A Bayesian Computer Vision System for Modeling Human Interactions [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 831-843.
  • 10ZELNIK-MANOR L, IRANI M. Event-based Video Analysis [ C ]// Proceedings of IEEE Conference on Computer Vtsion and Pattern Recognition, 2001 : 123-130.

共引文献6

同被引文献22

  • 1BASAGNI S, CAROSI A, MELACHRINOUDIS E, et al. Controlled sink mobility for prolonging wireless sensor networks lifetime[ J]. Wireless Networks, 2008, 14(6) : 831-858.
  • 2YUN Y S, XIA Y. Maximizing the lifetime of wireless sensor networks with mobile sink in delay-tolerant applications[ J]. IEEE Transactions on Mobile Computing, 2010, 9 (9) :1308-1318.
  • 3GAO Shuai, ZHANG Hong-ke, DAS S K. Efficient data collection in wireless sensor networks with path-constrained mobile Sinks [ J ]. IEEE Transactions on Mobile Computing, 2011, 10 (5) : 592-608.
  • 4KONSTANTOPOULOS C, PANTZIOU G, GAVALAS D, et al. A Rendezvous-based approach enabling energy-efficient sensor data collection with mobile Sinks[J]. IEEE Transactions on Parallel and Distributed, 2012, 23(5) :809-817.
  • 5XING Guo-liang, LI Min-ming, WANG Tian, et al. Efficient rendezvous algorithms for mobility-enabled wireless sensor networks[J]. IEEE Transactions on Mobile Computing, 2012, 11(1) :47-60.
  • 6CHANG C Y, LIN C Y, KUO C H. EBDC : An energy-balanced data collection mechanism using a mobile data collector in WSNs[J]. Sensors, 2012, 12(5), 5850-5871.
  • 7LIU Wang, LU Ke-jie, WANG Jian-ping, et al. Performance analysis of wireless sensor networks with mobile sinks [ J ]. IEEE Transactions on Vehicular Technology, 2012, 61 (6) :2777-2788.
  • 8FRANCESCO M D, DAS S K, ANASTASI G. Data collection in wireless sensor networks with mobile elements: A Survey [J]. ACM Transactions on Sensor Networks, 2011, 8( 1), Article 7.
  • 9MARATHE M V, BREU H, HUNT H B, et al. Simple heuristics for unit disk graphs[J]. Journal of Networks, 1995, 25(2) : 59-68.
  • 10TANG Q, YANG L, GIANNAKIS G B, et al. Battery power efficiency of PPM and FSK in wireless sensor networks [ J ]. IEEE Transactions on Wireless Communications, 2007,6 (4) : 1308-1319.

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