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Volumn , Issue , 2008, Pages 97-108

Sensor selection for minimizing worst-case prediction error

Author keywords

[No Author keywords available]

Indexed keywords

K-MEDIAN CLUSTERING; PREDICTION ERRORS;

EID: 51249111157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPSN.2008.40     Document Type: Conference Paper
Times cited : (24)

References (29)
  • 1
    • 51249099526 scopus 로고    scopus 로고
    • Intel Research Berkeley Lab Sensor Data
    • Intel Research Berkeley Lab Sensor Data, 2004. http://db.csail.mit.edu/ labdata/labdata.html.
    • (2004)
  • 2
    • 51249116584 scopus 로고    scopus 로고
    • The SensorScope Project
    • The SensorScope Project. http://sensorscope.epfl.ch.
  • 9
    • 84954121655 scopus 로고    scopus 로고
    • Utility-based decision-making in wireless sensor networks
    • J. Byers and G. Nasser. Utility-based decision-making in wireless sensor networks. In IEEE MobiHoc, pages 143-144, 2000.
    • (2000) IEEE MobiHoc , pp. 143-144
    • Byers, J.1    Nasser, G.2
  • 10
    • 24344486815 scopus 로고    scopus 로고
    • Improved combinatorial algorithms for facility location problems
    • M. Charikar and S. Guha. Improved combinatorial algorithms for facility location problems. SIAM J. on Computing, 34:803-824, 2005.
    • (2005) SIAM J. on Computing , vol.34 , pp. 803-824
    • Charikar, M.1    Guha, S.2
  • 14
    • 51249108805 scopus 로고    scopus 로고
    • Going beyond spatial aggregates in sensor networks
    • Technical report, NESL, 2004
    • S. Ganeriwal, C. Han, and M. Srivastava. Going beyond spatial aggregates in sensor networks. Technical report, NESL, 2004.
    • Ganeriwal, S.1    Han, C.2    Srivastava, M.3
  • 17
  • 18
    • 0018542104 scopus 로고
    • Easy and hard bottleneck location problems
    • W. Hsu and G. Nemhauser. Easy and hard bottleneck location problems. Discrete Applied Mathematics, 1:209-216, 1979.
    • (1979) Discrete Applied Mathematics , vol.1 , pp. 209-216
    • Hsu, W.1    Nemhauser, G.2
  • 20
    • 0033352137 scopus 로고    scopus 로고
    • Primal-dual approximation algorithms for metric facility location and k-median problems
    • K. Jain and V. Vazirani. Primal-dual approximation algorithms for metric facility location and k-median problems. In Proc. 40th IEEE Symp. on Foundations of Computer Science, pages 2-13, 1999.
    • (1999) Proc. 40th IEEE Symp. on Foundations of Computer Science , pp. 2-13
    • Jain, K.1    Vazirani, V.2
  • 29
    • 34047198289 scopus 로고    scopus 로고
    • The clustered aggregation (cag) technique leveraging spatial and temporal correlations in wireless sensor networks
    • S. Yoon and C. Shahabi. The clustered aggregation (cag) technique leveraging spatial and temporal correlations in wireless sensor networks. ACM Transactions on Sensor Networks, 3, 2007.
    • (2007) ACM Transactions on Sensor Networks , vol.3
    • Yoon, S.1    Shahabi, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.