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Volumn , Issue , 2009, Pages 443-450

Energy efficient information collection in wireless sensor networks using adaptive compressive sensing

Author keywords

[No Author keywords available]

Indexed keywords

AMOUNT OF INFORMATION; ENERGY EFFICIENT; ENERGY EXPENDITURE; INFORMATION COLLECTIONS; NP-HARD; PHYSICAL QUANTITIES; SPATIAL FIELDS;

EID: 77951132841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LCN.2009.5355162     Document Type: Conference Paper
Times cited : (114)

References (20)
  • 1
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    • W. Bajwa et al., Joint Source-Channel Communication for Distributed Estimation in Sensor Networks. IEEE Trans Information Theory, 2007.
    • (2007) IEEE Trans Information Theory
    • Bajwa, W.1
  • 3
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    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E. J. Candes et al., Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information, IEEE Trans. Inf. Theory, 2006.
    • (2006) IEEE Trans. Inf. Theory
    • Candes, E.J.1
  • 7
    • 33748575920 scopus 로고    scopus 로고
    • Signal Reconstruction from Noisy Random Projections
    • J. Haupt, R. D. Nowak: Signal Reconstruction From Noisy Random Projections. IEEE Transactions on Information Theory 52(9): 4036-4048 (2006)
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.9 , pp. 4036-4048
    • Haupt, J.1    Nowak, R.D.2
  • 9
    • 33747445938 scopus 로고    scopus 로고
    • Deploying long-lived and cost-effective hybrid sensor networks
    • W. Hu, C. T. Chou, S. Jha, N. Bulusu: Deploying long-lived and cost-effective hybrid sensor networks. Ad Hoc Networks 4(6): 749-767 (2006)
    • (2006) Ad Hoc Networks , vol.4 , Issue.6 , pp. 749-767
    • Hu, W.1    Chou, C.T.2    Jha, S.3    Bulusu, N.4
  • 13
    • 34250374122 scopus 로고    scopus 로고
    • An energy-efficient data collection framework for wireless sensor networks by exploiting spatialtemporal correlation
    • C. Liu, K. Wu and J. Pei. An energy-efficient data collection framework for wireless sensor networks by exploiting spatialtemporal correlation. IEEE Trans. on Parallel and Distributed Systems, 2007.
    • (2007) IEEE Trans. on Parallel and Distributed Systems
    • Liu, C.1    Wu, K.2    Pei, J.3
  • 14
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • D. J. C. MacKay. Bayesian interpolation. Neural Comp. 4, 1991.
    • (1991) Neural Comp. , vol.4
    • MacKay, D.J.C.1
  • 17
    • 34247370267 scopus 로고    scopus 로고
    • Decentralized compression on predistribution via randomized gossiping
    • M. Rabbat et al., Decentralized compression on predistribution via randomized gossiping. Proc. IPSN 2006.
    • Proc. IPSN 2006
    • Rabbat, M.1
  • 18
    • 70349294164 scopus 로고    scopus 로고
    • On the interplay between routing and signal representation for compressive sensing in wireless sensor networks
    • G. Quer et al. On the interplay between routing and signal representation for compressive sensing in wireless sensor networks. In Information Theory and Applications Workshop, 2009.
    • Information Theory and Applications Workshop, 2009
    • Quer, G.1
  • 20
    • 44649181578 scopus 로고    scopus 로고
    • Bayesian Inference and Optimal Design for he Sparse Linear Model
    • M.W. Seeger, Bayesian Inference and Optimal Design for he Sparse Linear Model. Journal of Machine Learning Research, 2008.
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    • Seeger, M.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.