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Volumn 58, Issue 7, 2010, Pages 3816-3827

Decentralized sparse signal recovery for compressive sleeping wireless sensor networks

Author keywords

Alternating direction method of multipliers; Compressive sensing; Consensus optimization; Decentralized sparse signal recovery; Wireless sensor networks

Indexed keywords

ACTIVE SENSOR; ALTERNATING DIRECTION METHOD OF MULTIPLIERS; ALTERNATING DIRECTION METHODS; COMPUTATION COSTS; CONSENSUS OPTIMIZATION; DATA COLLECTION; DECENTRALIZED ALGORITHMS; ENERGY-CONSTRAINED; FUSION CENTER; GLOBAL OPTIMUM; HIGH SPATIAL RESOLUTION; IN-NETWORK PROCESSING; ITERATIVE ALGORITHM; LARGE-SCALE WIRELESS SENSOR NETWORKS; LOCAL REGION; LOW POWER; NETWORK LIFETIME; NODE DENSITY; OPTIMIZATION FORMULATIONS; SENSING PERFORMANCE; SPARSE SIGNALS;

EID: 77953757231     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2010.2047721     Document Type: Article
Times cited : (175)

References (31)
  • 1
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presense of noise
    • D. Donoho, M. Elad, and V. Temlyakov, "Stable recovery of sparse overcomplete representations in the presense of noise," IEEE Trans. Inf. Theory, vol.52, pp. 6-18, 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , pp. 6-18
    • Donoho, D.1    Elad, M.2    Temlyakov, V.3
  • 2
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • D. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol.52, pp. 1289-1306, 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , pp. 1289-1306
    • Donoho, D.1
  • 3
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol.52, pp. 489-509, 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , pp. 489-509
    • Candes, E.1    Romberg, J.2    Tao, T.3
  • 5
    • 5444275208 scopus 로고    scopus 로고
    • Wireless sensor and actuator networks: Research challenges
    • I. Akyildiz and I. Kasimoglu, "Wireless sensor and actuator networks: Research challenges," Ad Hoc Netw., vol.2, pp. 351-367, 2004.
    • (2004) Ad Hoc Netw. , vol.2 , pp. 351-367
    • Akyildiz, I.1    Kasimoglu, I.2
  • 6
    • 17144416467 scopus 로고    scopus 로고
    • Distributed multitarget classification in wireless sensor networks
    • J. Kotecha, V. Ramachandran, and A. Sayeed, "Distributed multitarget classification in wireless sensor networks," IEEE J. Sel. Areas Commun., vol.23, pp. 703-713, 2005.
    • (2005) IEEE J. Sel. Areas Commun. , vol.23 , pp. 703-713
    • Kotecha, J.1    Ramachandran, V.2    Sayeed, A.3
  • 7
    • 77953866473 scopus 로고    scopus 로고
    • Distributed spectrum sensing for cognitive radios by exploiting sparsity
    • Mar.
    • J. Barzerque and G. Giannakis, "Distributed spectrum sensing for cognitive radios by exploiting sparsity," IEEE Trans. Signal Process., vol.58, no.3, pp. 1847-1862, Mar. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.58 , Issue.3 , pp. 1847-1862
    • Barzerque, J.1    Giannakis, G.2
  • 8
    • 85008066015 scopus 로고    scopus 로고
    • Localized structural health monitoring in wireless sensor networks
    • Q. Ling, Z. Tian, Y. Yin, and Y. Li, "Localized structural health monitoring in wireless sensor networks," IEEE Sens. J., vol.9, pp. 1596-1604, 2009.
    • (2009) IEEE Sens. J. , vol.9 , pp. 1596-1604
    • Ling, Q.1    Tian, Z.2    Yin, Y.3    Li, Y.4
  • 9
    • 77953799377 scopus 로고    scopus 로고
    • An energy conservation method for wireless sensor networks employing a blue noise spatial sampling technique
    • M. Perillo, Z. Ignjatovic, and W. Heinzelman, "An energy conservation method for wireless sensor networks employing a blue noise spatial sampling technique," in Proc. IEEE IPSN Conf., 2004.
    • (2004) Proc. IEEE IPSN Conf.
    • Perillo, M.1    Ignjatovic, Z.2    Heinzelman, W.3
  • 13
    • 4344714071 scopus 로고    scopus 로고
    • Medium access control with coordinated adaptive sleeping for wireless sensor networks
    • W. Ye, J. Heidemann, and D. Estrin, "Medium access control with coordinated adaptive sleeping for wireless sensor networks," IEEE Trans. Netw., vol.12, pp. 493-506, 2004.
    • (2004) IEEE Trans. Netw. , vol.12 , pp. 493-506
    • Ye, W.1    Heidemann, J.2    Estrin, D.3
  • 15
    • 77953748215 scopus 로고    scopus 로고
    • Minimum node degree and k-connectivity of a wireless multihop network in a bounded area
    • Q. Ling and Z. Tian, "Minimum node degree and k-connectivity of a wireless multihop network in a bounded area," in Proc. IEEE GLOBECOM Conf., 2007.
    • (2007) Proc. IEEE GLOBECOM Conf.
    • Ling, Q.1    Tian, Z.2
  • 16
    • 85032751231 scopus 로고    scopus 로고
    • Distributed compression- estimation using wireless sensor networks
    • J. Xiao, A. Ribeiro, Z. Luo, and G. Giannakis, "Distributed compression- estimation using wireless sensor networks," IEEE Signal Process. Mag., vol.23, pp. 27-41, 2006.
    • (2006) IEEE Signal Process. Mag. , vol.23 , pp. 27-41
    • Xiao, J.1    Ribeiro, A.2    Luo, Z.3    Giannakis, G.4
  • 18
    • 43349085369 scopus 로고    scopus 로고
    • Randomized consensus algorithms over large scale networks
    • F. Fagnani and S. Zampieri, "Randomized consensus algorithms over large scale networks," IEEE J. Sel. Areas Commun., vol.26, pp. 634-649, 2008.
    • (2008) IEEE J. Sel. Areas Commun. , vol.26 , pp. 634-649
    • Fagnani, F.1    Zampieri, S.2
  • 19
    • 64249136579 scopus 로고    scopus 로고
    • A collaborative training algorithm for distributed learning
    • J. Predd, S. Kulkarni, and V. Poor, "A collaborative training algorithm for distributed learning," IEEE Trans. Inf. Theory, vol.55, pp. 1856-1871, 2009.
    • (2009) IEEE Trans. Inf. Theory , vol.55 , pp. 1856-1871
    • Predd, J.1    Kulkarni, S.2    Poor, V.3
  • 20
    • 17144419228 scopus 로고    scopus 로고
    • Quantized incremental algorithms for distributed optimization
    • M. Rabbat and R. Nowak, "Quantized incremental algorithms for distributed optimization," IEEE J. Sel. Areas Commun., vol.23, pp. 798-806, 2005.
    • (2005) IEEE J. Sel. Areas Commun. , vol.23 , pp. 798-806
    • Rabbat, M.1    Nowak, R.2
  • 21
    • 33746569114 scopus 로고    scopus 로고
    • Distributed estimation and detection for sensor networks using hidden Markov random field models
    • A. Dogandzic and B. Zhang, "Distributed estimation and detection for sensor networks using hidden Markov random field models," IEEE Trans. Signal Process., vol.54, pp. 3200-3215, 2006.
    • (2006) IEEE Trans. Signal Process. , vol.54 , pp. 3200-3215
    • Dogandzic, A.1    Zhang, B.2
  • 22
    • 77953793128 scopus 로고    scopus 로고
    • Distributed event-region detection in wireless sensor networks
    • J. Fang and H. Li, "Distributed event-region detection in wireless sensor networks," EURASIP J. Adv. Signal Process., Article ID 287870, 2008.
    • (2008) EURASIP J. Adv. Signal Process. , pp. 287870
    • Fang, J.1    Li, H.2
  • 23
    • 37749015518 scopus 로고    scopus 로고
    • Consensus in ad hoc WSNs with noisy links. Part I: Distributed estimation of deterministic signals
    • I. Schizas, A. Ribeiro, and G. Giannakis, "Consensus in ad hoc WSNs with noisy links. Part I: Distributed estimation of deterministic signals," IEEE Trans. Signal Process., vol.56, pp. 350-364, 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , pp. 350-364
    • Schizas, I.1    Ribeiro, A.2    Giannakis, G.3
  • 24
    • 66849141877 scopus 로고    scopus 로고
    • Distributed LMS for consensus- based in-network adaptive processing
    • I. Schizas, G. Mateos, and G. Giannakis, "Distributed LMS for consensus- based in-network adaptive processing," IEEE Trans. Signal Process., vol.57, pp. 2365-2382, 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , pp. 2365-2382
    • Schizas, I.1    Mateos, G.2    Giannakis, G.3
  • 26
    • 51449103433 scopus 로고    scopus 로고
    • Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter
    • A. Hormati and M. Vetterli, "Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter," in Proc. IEEE ICASSP Conf., 2008.
    • (2008) Proc. IEEE ICASSP Conf.
    • Hormati, A.1    Vetterli, M.2
  • 27
    • 11844301315 scopus 로고    scopus 로고
    • Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks
    • X. Sheng and Y. Hu, "Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks," IEEE Trans. Signal Process., vol.53, pp. 44-53, 2005.
    • (2005) IEEE Trans. Signal Process. , vol.53 , pp. 44-53
    • Sheng, X.1    Hu, Y.2
  • 28
    • 39449126969 scopus 로고    scopus 로고
    • Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
    • M. Figueiredo, R. Nowak, and S. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE J. Sel. Top. Signal Process., vol.1, pp. 586-597, 2007.
    • (2007) IEEE J. Sel. Top. Signal Process. , vol.1 , pp. 586-597
    • Figueiredo, M.1    Nowak, R.2    Wright, S.3
  • 31
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the Lasso
    • R. Tibshirani, "Regression shrinkage and selection via the Lasso," J. Royal Statist. Soc. B, vol.58, pp. 267-288, 1996.
    • (1996) J. Royal Statist. Soc. B , vol.58 , pp. 267-288
    • Tibshirani, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.