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On distributed self fault diagnosis for wireless multimedia sensor networks

Published: 12 February 2011 Publication History

Abstract

This paper presents a distributed self fault diagnosis scheme for wireless multimedia sensor networks (WMSN). The sensor node makes decision about whether or not to discard its own sensor reading by using proposed sensor node architecture. Fault diagnosis is achieved by disseminating decision made at each node. The proposed scheme considers the channel impairment, where the channel is modeled as two state Markov chain. A low memory energy efficient image compression scheme [13] and Reed-Solomon coding for forward error correction is used. Analytical and simulation results show the robustness of the scheme. Both hard and soft fault situation is considered. This work also investigates the energy consumed in diagnosing a fault event.

References

[1]
IEEE Std 802.15.4-2003, 2003.
[2]
I. F. Akyildiz, T. Melodia, and K. R. Chowdhury. A survey on wireless multimedia sensor networks. Computer Networks, 51(4):921--960, 2007.
[3]
S. Appadwedula, M. Goel, N. R. Shanbhag, D. L. Jones, and K. Ramchandran. Total system energy minimization for wireless image transmission. J. VLSI Signal Process. Syst., 27(1/2):99--117, 2001.
[4]
G. Cardarilli, S. Pontarelli, M. Re, and A. Salsano. Concurrent error detection in reed ndash;solomon encoders and decoders. Very Large Scale Integration (VLSI) Systems, IEEE Transactions on, 15(7):842--846, jul. 2007.
[5]
G. Chapman, S. Djaja, D. Cheung, Y. Audet, I. Koren, and Z. Koren. A self-correcting active pixel sensor using hardware and software correction. Design Test of Computers, IEEE, 21(6):544--551, nov. 2004.
[6]
S. Chessa and P. Santi. Comparison-based system-level fault diagnosis in ad hoc networks. In Reliable Distributed Systems, 2001. Proceedings. 20th IEEE Symposium on, pages 257--266, 2001.
[7]
S. Chessa and P. Santi. Crash faults identification in wireless sensor networks. Computer Communications, 25(14):1273--1282, 2002.
[8]
A. Czarlinska and D. Kundur. Wireless image sensor networks: event acquisition in attack-prone and uncertain environments. Multidimensional Systems and Signal Processing, 20:135--164, 2009.
[9]
M. Elhadef, A. Boukerche, and H. Elkadiki. A distributed fault identification protocol for wireless and mobile ad hoc networks. Journal of Parallel and Distributed Computing, 68(3):321--335, 2008.
[10]
E. N. Gilbert. Capacity of a burst-noise channel. Bell Syst. Tech. J., page 1253--1265, Sep. 1960.
[11]
W. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy-efficient communication protocol for wireless microsensor networks. page 10 pp. vol. 2, jan. 2000.
[12]
P. Jiang. A new method for node fault detection in wireless sensor networks. Sensors, 9(2):1282--1294, 2009.
[13]
D.-U. Lee, H. Kim, M. Rahimi, D. Estrin, and J. Villasenor. Energy-efficient image compression for resource-constrained platforms. Image Processing, IEEE Transactions on, 18(9):2100--2113, 2009.
[14]
M.-H. Lee and Y.-H. Choi. Fault detection of wireless sensor networks. Computer Communications, 31(14):3469--3475, 2008.
[15]
H. Wu and A. A. Abouzeid. Error resilient image transport in wireless sensor networks. Computer Networks, 50(15):2873--2887, 2006.
[16]
O. Younis and S. Fahmy. Heed: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. Mobile Computing, IEEE Transactions on, 3(4):366--379, oct. 2004.
[17]
M. Zorzi, R. Rao, and L. Milstein. On the accuracy of a first-order markov model for data transmission on fading channels. pages 211--215, nov. 1995.
  1. On distributed self fault diagnosis for wireless multimedia sensor networks

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    ICCCS '11: Proceedings of the 2011 International Conference on Communication, Computing & Security
    February 2011
    656 pages
    ISBN:9781450304641
    DOI:10.1145/1947940
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 12 February 2011

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    Author Tags

    1. WMSN
    2. energy efficient diagnosis
    3. fault detection

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