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研究生: 郇志翔
Hsun, Chih-Hsiang
論文名稱: 在考慮現實因素的大範圍無線感測器網路上的合作式無線感測器網路診斷法
Cooperative Diagnosis for Realistic Large-Scale Wireless Sensor Networks
指導教授: 蔡明哲
Tsai, Ming Jer
口試委員: 趙禧綠
Chao, Hsi-Lu
蔡明哲
Tsai, Ming Jer
彭文志
Peng, Wen-Chih
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Computer Science
論文出版年: 2012
畢業學年度: 100
語文別: 英文
論文頁數: 26
中文關鍵詞: 錯誤偵測無線感測器網路
外文關鍵詞: Fault Diagnosis, wireless sensor networks
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  • 無線感測器網路的偵錯,是個非常重要的議題,因為網路中一但出現故障的點或是連結,就會降低感測的準確性,並縮短系統維持時間。為了將故障所造成的損害降到最低,網路維護者必須儘快地偵測出故障的位置,並將故障排除。現存的無線感測器網路偵錯法,大部分都是集中式的方法,或是只能在雙向連結的網路中運行的方法。集中式的偵錯法通常會需要網路中的感測器定期地發送節點或連結的資訊
    給特定的點,這種作法不但會對網路中的節點造成很大的負擔,同時也會產生巨大的流量。另外,在真實的無線感測器網路中,點與點之間的連結情況有可能是雙向或單向。我們在本文中提出了一個合作式的偵錯法,並命名為CDM。CDM不但可以在單向連結網路中運行,還能夠縮減偵錯所需的訊息量。我們使用網路模擬器NS-2來評估CDM和知名偵錯法TinyD2的效能。我們評估的項目有偵錯率、錯誤警示率以及偵錯成本。模擬結果顯示,CDM在偵錯率及偵錯成本的效能都優於TinyD2,且和TinyD2擁有相近的錯誤警示率。


    Fault diagnosis is an important issue in wireless sensor networks (WSNs) because the node/link failures not only decrease the accuracy of surveillance result, but also
    shorten the lifetime of network. In order to minimize damages caused by node/link failures, the node/link failures must be detected and recovered by system supervisors as soon as possible. Although many diagnosis methods for WSNs are proposed, these methods are works either in a centralized manner or in the networks with bidirectional links. The centralized methods often need all sensors in the network to periodically report the node/link information to a speci c node, resulting in heavy burdens of
    sensors and generating a large amount of overhead in networks. In addition, in actual practice, the links in WSNs are either unidirectional or bidirectional. In this thesis, a distributed cooperative diagnosis method, termed CDM, is proposed to work in networks with unidirectional links and minimize the message overhead required for
    diagnosis. Using NS-2 simulations, we evaluate the performance of the proposed method (CDM) and a well-known diagnosis method (TinyD2) in terms of detection ratio, fault-alarm ratio, and diagnosis overhead. The simulations demonstrate that our diagnosis method has good performance in terms of detection ratio and diagnosis overhead and provides comparable fault-alarm ratio to TinyD2.

    Abstract ii Contents iii List of Figures v 1 Introduction 1 2 Related Work 4 3 Overview of CDM and Its Network Structure 6 4 The Proposed Diagnosis Method 8 4.1 Trigger Step . . . . . . . . . . . . . . . 9 4.2 Local Decision Step . . . . . . . . . . . 9 4.3 Global Decision Step . . . . . . . . . . . 11 5 Analysis 14 6 Empirical Results 16 6.1 Detection Ratio . . . . . . . . . . . . . 17 6.2 False Alarm Ratio . . . . . . . .. . . . . 18 6.3 Diagnosis Overhead . . . . . . . . . . . . 19 7 Conclusion 21 Bibliography 23

    [1] N. Xu, S. Rangwala, K. K. Chintalapudi, D. Ganesan, A. Broad, R. Govindan,
    and D. Estrin, \A wireless sensor network for structural monitoring," in Proceed-
    ings of the 2nd international conference on Embedded networked sensor systems,
    2004.

    [2] T. He, S. Krishnamurthy, J.A.Stankovic, T. Abdelzaher, L. Luo, R. Stoleru, T.
    Yan, L. Gu, J. Hui, and B. Krogh, \Energy-Ecient Surveillance System Using
    Wireless Sensor Networks," in Proceedings of the 2nd international conference
    on Mobile systems, applications, and services, 2004.

    [3] Z. Yang, M. Li, and Y. Liu, \Sea Depth Measurement with Restricted Floating
    Sensors," in Real-Time Systems Symposium, 2007.

    [4] M. Gerla, Y. Z. Lee, J. S. Park, and Y. Yi, \On demand multicast routing with
    unidirectional links," in Wireless Communications and Networking Conference,
    2005.

    [5] N. Li and J. C. Hou, \Localized topology control algorithms for heterogeneous
    wireless networks," in Transactions on Networking, 2005.

    [6] V. Ramasubramanian, R. Chandra, and D. Mosse, \Providing a bidirectional abstraction
    for unidirectional ad hoc networks," in INFOCOM 2002. Twenty-FirstAnnual Joint Conference of the IEEE Computer and Communications Societies,
    2002.

    [7] L. Barriere, P. Fraigniaud, and L. Narayanan, \Robust position-based routing
    in wireless ad hoc networks with unstable transmission ranges," in Proceedings
    of the 5th international workshop on Discrete algorithms and methods for mobile
    computing and communications, 2001.

    [8] J. Chen, A. Jiang, I. A. Kanj, G. Xia, and F. Zhang, \Separability and topology
    control of quasi unit disk graphs," in INFOCOM 2007. 26th IEEE International
    Conference on Computer Communications. IEEE, 2007.

    [9] F. Kuhn, T. Moscibroda, and R. Wattenhofer, \Initializing newly deployed ad
    hoc and sensor networks," in Proceedings of the 10th annual international con-
    ference on Mobile computing and networking, 2004.

    [10] S. Choi and K. G. Shin, \A unied wireless LAN architecture for real-time and
    non-real-time communication services," in Transactions on Networking, 2000.

    [11] F. Tobagi and L. Kleinrock, \Packet switching in radio channels: Part II{The
    hidden terminal problem in carrier sense multiple access and the busy tone so-
    lution," in Transactions on Communications, 1975.

    [12] V. Bhargavan, A. Demers, S. Shenker, and L. Zhang, \MACAW: a media access
    protocol for wireless LANs," in Proceedings of the conference on Communications
    architectures, protocols and applications, 1994.

    [13] GEORGE H. MEALY, \A Method for Synthesizing Sequential Circuits," in THE
    BELL SYSTEM TECHNICAL JOURNAL, 1955.

    [14] L. Benini and G. De Micheli, \Transformation and synthesis of fsms for low-
    power gated-clock implementation," in Proceedings of the 1995 international
    symposium on Low power design, 1995.

    [15] X. Bai, D. Xuan, Z. Yun, T. H. Lai, and W. Jia, \Complete optimal deployment
    patterns for full-coverage and k-connectivity wireless sensor networks," in Pro-
    ceedings of the 9th ACM international symposium on Mobile ad hoc networking
    and computing, 2008.

    [16] Y. Liu, Q. Zhang, and L. Ni, \Opportunity-Based Topology Control in Wireless
    Sensor Networks," in Parallel and Distributed Systems, IEEE Transactions on,
    2010.

    [17] H. Zhai and Y. Fang, \Impact of Routing Metrics on Path Capacity in Multirate
    and Multihop Wireless Ad Hoc Networks," in Proceedings of the 2006 14th IEEE
    International Conference on, 2006.

    [18] Y. Liu, K. Liu, and M. Li,, \Passive diagnosis for wireless sensor networks," in
    Transactions on Networking, 2010.

    [19] K. Liu, Q. Ma, X. Zhao, and Y. Liu, \Self-diagnosis for large scale wireless sensor
    networks," in INFOCOM, 2011 Proceedings IEEE, 2011.

    [20] Y. Zhao, R. Govindan, and D. Estrin, \Residual energy scan for monitoring sen-
    sor networks," in Wireless Communications and Networking Conference, 2002.

    [21] N. Ramanathan, K. Chang, R. Kapur, L. Girod, E. Kohler, and D. Estrin, \Sym-
    pathy for the sensor network debugger," in Proceedings of the 3rd international
    conference on Embedded networked sensor systems, 2005.

    [22] R. R. Kompella, J. Yates, A. Greenberg, and A. C. Snoeren, \IP fault localiza-
    tion via risk modeling," in Proceedings of the 2nd conference on Symposium on
    Networked Systems Design & Implementation - Volume 2, 2005.

    [23] S. Kandula, D. Katabi, and J.-P. Vasseur, \Shrink: a tool for failure diagnosis in
    IP networks," in Proceedings of the 2005 ACM SIGCOMM workshop on Mining
    network data, 2005.

    [24] Hp Openview,[Online]. Available: http://www.openview.hp.com.

    [25] IBM Tivoli,[Online]. Available: http://www.ibm.com/software/tivoli.

    [26] Microsoft Operations Manager,[Online]. Available: http://www.microsoft.com/mom.

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