메뉴 건너뛰기




Volumn 2006, Issue , 2006, Pages 2-10

Near-optimal sensor placements: Maximizing information while minimizing communication cost

Author keywords

Approximation algorithms; Communication cost; Gaussian processes; Information theory; Link quality; Sensor networks; Sensor placement; Spatial monitoring

Indexed keywords

COMMUNICATION COSTS; GAUSSIAN PROCESSES; SENSOR PLACEMENT; SPATIAL MONITORING; GAUSSIAN PROCESSES (GP);

EID: 34247381191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1127777.1127782     Document Type: Conference Paper
Times cited : (349)

References (19)
  • 1
    • 0032057918 scopus 로고    scopus 로고
    • New approximation guarantees for minimum-weight k-trees and prize-collecting salesmen
    • B. Awerbuch, Y. Azar, A. Blum, and S. Vempala. New approximation guarantees for minimum-weight k-trees and prize-collecting salesmen. SIAM J. Computing, 28:254-262, 1999.
    • (1999) SIAM J. Computing , vol.28 , pp. 254-262
    • Awerbuch, B.1    Azar, Y.2    Blum, A.3    Vempala, S.4
  • 2
    • 33744938433 scopus 로고    scopus 로고
    • Statistical model of lossy links in wireless sensor networks
    • A. Cerpa, J. L. Wong, L. Kuang, M. Potkonjak, and D. Estrin. Statistical model of lossy links in wireless sensor networks. In IPSN, 2005.
    • (2005) IPSN
    • Cerpa, A.1    Wong, J.L.2    Kuang, L.3    Potkonjak, M.4    Estrin, D.5
  • 6
    • 34247387895 scopus 로고    scopus 로고
    • S. Funke, A. Kesselman, F. Kuhn, Z. Lotker, and M. Segal. Improved approximation algorithms for connected sensor cover. In ADHOC, 04.
    • S. Funke, A. Kesselman, F. Kuhn, Z. Lotker, and M. Segal. Improved approximation algorithms for connected sensor cover. In ADHOC, 04.
  • 7
    • 33244493480 scopus 로고    scopus 로고
    • Saving an epsilon: A 2-approximation for the k-mst problem in graphs
    • N. Garg. Saving an epsilon: a 2-approximation for the k-mst problem in graphs. In STOC, 2005.
    • (2005) STOC
    • Garg, N.1
  • 8
    • 3042820611 scopus 로고    scopus 로고
    • Distributed regression: An efficient framework for modeling sensor network data
    • C. Guestrin, P. Bodik, R. Thibaux, M. Paskin, and S. Madden. Distributed regression: an efficient framework for modeling sensor network data. In IPSN, 2004.
    • (2004) IPSN
    • Guestrin, C.1    Bodik, P.2    Thibaux, R.3    Paskin, M.4    Madden, S.5
  • 9
    • 31844450884 scopus 로고    scopus 로고
    • Near-optimal sensor placements in gaussian processes
    • C. Guestrin, A. Krause, and A. Singh. Near-optimal sensor placements in gaussian processes. In ICML, 2005.
    • (2005) ICML
    • Guestrin, C.1    Krause, A.2    Singh, A.3
  • 10
    • 0344550482 scopus 로고    scopus 로고
    • Bounded geometries, fractals, and low-distortion embeddings
    • A. Gupta, R. Krauthgamer, and J. R. Lee. Bounded geometries, fractals, and low-distortion embeddings. In FOCS, 2003.
    • (2003) FOCS
    • Gupta, A.1    Krauthgamer, R.2    Lee, J.R.3
  • 11
    • 0242527323 scopus 로고    scopus 로고
    • Connected sensor cover: Self-organization of sensor networks for efficient query execution
    • H. Gupta, S. R. Das, and Q. Gu. Connected sensor cover: Self-organization of sensor networks for efficient query execution. In MobiHoc, 2003.
    • (2003) MobiHoc
    • Gupta, H.1    Das, S.R.2    Gu, Q.3
  • 12
    • 0033907922 scopus 로고    scopus 로고
    • D. S. Johnson, M. Minkoff, and S. Phillips. The prize collecting steiner tree problem: theory and practice. In SODA, 2000.
    • D. S. Johnson, M. Minkoff, and S. Phillips. The prize collecting steiner tree problem: theory and practice. In SODA, 2000.
  • 13
    • 25844434036 scopus 로고    scopus 로고
    • Node placement for connected coverage in sensor networks
    • K. Kar and S. Banerjee. Node placement for connected coverage in sensor networks. In WiOpt, 2003.
    • (2003) WiOpt
    • Kar, K.1    Banerjee, S.2
  • 14
    • 77955108651 scopus 로고    scopus 로고
    • Near-optimal sensor placements: Maximizing information while minimizing communication cost
    • Technical report, CMU-CALD-05-110
    • A. Krause, C. Guestrin, A. Gupta, and J. Kleinberg. Near-optimal sensor placements: Maximizing information while minimizing communication cost. Technical report, CMU-CALD-05-110, 2005.
    • (2005)
    • Krause, A.1    Guestrin, C.2    Gupta, A.3    Kleinberg, J.4
  • 15
    • 2042441791 scopus 로고    scopus 로고
    • A better approximation algorithm for the budget prize collecting tree problem
    • A. Levin. A better approximation algorithm for the budget prize collecting tree problem. Ops. Res. Lett., 32:316-319, 2004.
    • (2004) Ops. Res. Lett , vol.32 , pp. 316-319
    • Levin, A.1
  • 16
    • 0000095809 scopus 로고
    • An analysis of the approximations for maximizing submodular set functions
    • G. Nemhauser, L. Wolsey, and M. Fisher. An analysis of the approximations for maximizing submodular set functions. Mathematical Programming, 14:265-294, 1978.
    • (1978) Mathematical Programming , vol.14 , pp. 265-294
    • Nemhauser, G.1    Wolsey, L.2    Fisher, M.3
  • 17
    • 14944368724 scopus 로고    scopus 로고
    • Estimation of nonstationary spatial covariance structure
    • D. J. Nott and W. T. M. Dunsmuir. Estimation of nonstationary spatial covariance structure. Biometrika, 89:819-829, 2002.
    • (2002) Biometrika , vol.89 , pp. 819-829
    • Nott, D.J.1    Dunsmuir, W.T.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.