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Volumn 16, Issue 1, 2009, Pages

Energy-efficient collaborative target tracking algorithm using cost-reference particle filtering in wireless acoustic sensor networks

Author keywords

cost reference particle filtering; energy efficient; target tracking; wireless sensor networks (WSNs)

Indexed keywords

CLUSTERING ALGORITHMS; CLUTTER (INFORMATION THEORY); COLLABORATIVE FILTERING; COST BENEFIT ANALYSIS; COSTS; DISTRIBUTED COMPUTER SYSTEMS; ENERGY DISSIPATION; ENERGY EFFICIENCY; ENERGY UTILIZATION; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; SENSOR NODES;

EID: 62349124341     PISSN: 10058885     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1005-8885(08)60170-3     Document Type: Article
Times cited : (9)

References (12)
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    • Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks
    • Sheng X.H., and Hu Y.H. Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks. IEEE Transactions on Signal Processing 53 1 (2005) 44-53
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    • Sheng, X.H.1    Hu, Y.H.2
  • 3
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    • Collaborative signal and information processing: an information-directed approach
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    • (2003) Proceedings of IEEE , vol.91 , Issue.8 , pp. 1199-1209
    • Zhao, F.1    Liu, J.2    Liu, J.3
  • 5
    • 3042538811 scopus 로고    scopus 로고
    • Real-time multi-target tracking by cooperative distributed active vision agents
    • Ukita N., and Matsuyama T. Real-time multi-target tracking by cooperative distributed active vision agents. Proceedings of the IEEE 90 7 (2002) 1136-1150
    • (2002) Proceedings of the IEEE , vol.90 , Issue.7 , pp. 1136-1150
    • Ukita, N.1    Matsuyama, T.2
  • 6
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • Arulampalam M.S., Maskell S., Gordon N., et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing 50 2 (2002) 174-188
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3
  • 7
    • 33646804902 scopus 로고    scopus 로고
    • Sheng X H, Hu Y H. Distributed particle filters for wireless sensor network target tracking. Proceedings of 2005 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'05): 4, Mar 18-23, 2005, Philadelphia, PA, UAS. Piscataway, NJ, USA: IEEE, 2005, 845-848.
    • Sheng X H, Hu Y H. Distributed particle filters for wireless sensor network target tracking. Proceedings of 2005 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP'05): Vol 4, Mar 18-23, 2005, Philadelphia, PA, UAS. Piscataway, NJ, USA: IEEE, 2005, 845-848.
  • 8
    • 84947550405 scopus 로고    scopus 로고
    • Particle filtering for systems with unknown noise probability distributions
    • Sep 28-Oct 1, St Louis, MO, USA. Piscataway, NJ, USA: IEEE
    • Miguez J, Xu S S, Bugallo M, et al. Particle filtering for systems with unknown noise probability distributions. Proceedings of 2003 IEEE Workshop on Statistical Signal Processing, Sep 28-Oct 1, 2003, St Louis, MO, USA. Piscataway, NJ, USA: IEEE, 2003, 522-525.
    • (2003) Proceedings of 2003 IEEE Workshop on Statistical Signal Processing , pp. 522-525
    • Miguez, J.1    Xu, S.S.2    Bugallo, M.3
  • 10
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    • Information-driven dynamic sensor collaboration for tracking applications
    • Zhao F., Shin J., and Reich J. Information-driven dynamic sensor collaboration for tracking applications. IEEE Signal Processing Magazine 19 2 (2002) 61-72
    • (2002) IEEE Signal Processing Magazine , vol.19 , Issue.2 , pp. 61-72
    • Zhao, F.1    Shin, J.2    Reich, J.3
  • 11
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    • Delay measurement time synchronization for wireless sensor networks
    • June
    • Su P. Delay measurement time synchronization for wireless sensor networks. Intel Research Berkeley Lab, IRB-TR-03-013, June, 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.