메뉴 건너뛰기




Volumn 20, Issue 4, 2010, Pages 409-419

Analyzing space-time sensor network data under suppression and failure in transmission

Author keywords

Hierarchical models; Information loss; Linear constraints; Spatio temporal models; Wireless sensor networks

Indexed keywords


EID: 77956881108     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-009-9133-z     Document Type: Article
Times cited : (9)

References (19)
  • 1
    • 84916537550 scopus 로고
    • Bayesian analysis of binary and polychotomous response data
    • Albert, J., Chib, S.: Bayesian analysis of binary and polychotomous response data. J. Am. Stat. Assoc. 88, 669-679 (1993).
    • (1993) J. Am. Stat. Assoc. , vol.88 , pp. 669-679
    • Albert, J.1    Chib, S.2
  • 2
    • 47649103974 scopus 로고    scopus 로고
    • Gaussian predictive process models for large spatial data sets
    • Banerjee, S., Finley, O., Gelfand, A., Sang, H.: Gaussian predictive process models for large spatial data sets. J. R. Stat. Soc., Ser. B 70(4), 825-848 (2008).
    • (2008) J. R. Stat. Soc., Ser. B , vol.70 , Issue.4 , pp. 825-848
    • Banerjee, S.1    Finley, O.2    Gelfand, A.3    Sang, H.4
  • 3
    • 0000193853 scopus 로고
    • On Gibbs sampling for state space models
    • Carter, C. K., Kohn, R.: On Gibbs sampling for state space models. Biometrika 81, 541-553 (1994).
    • (1994) Biometrika , vol.81 , pp. 541-553
    • Carter, C.K.1    Kohn, R.2
  • 4
    • 77956872561 scopus 로고    scopus 로고
    • Chu, D., Deshpandde, A., Hellerstein, J., Hong, W.: Approximate data collection in sensor networks using probabilistic models. In: Proc. of the 2005 Conf. on Innovative Data Systems Research, Asilomar, California, USA, Jan. 2005.
  • 5
    • 77956871147 scopus 로고    scopus 로고
    • Clark, J. S., Agarwal, P., Bell, D., Ellis, C., Flikkema, P., Gelfand, A. E., Katul, G., Munagala, K., Puggioni, G., Silberstein, A., Yang, J.: Getting what we need from wireless sensor networks: a role for inferential ecosystem models (2008, submitted).
  • 7
    • 20744444147 scopus 로고    scopus 로고
    • Spatial process modelling for univariate and multivariate dynamic spatial data
    • Gelfand, A. E., Banerjee, S., Gamerman, D.: Spatial process modelling for univariate and multivariate dynamic spatial data. Environmetrics 16, 1-15 (2005).
    • (2005) Environmetrics , vol.16 , pp. 1-15
    • Gelfand, A.E.1    Banerjee, S.2    Gamerman, D.3
  • 8
    • 77956883569 scopus 로고    scopus 로고
    • Geweke, J.: Efficient simulation from the multivariate normal and student t-distributions subject to linear constraints. In: Computer Sciences and Statistics Proceedings of the 23d Symposium on the Interface, pp. 571-578 (1991).
  • 9
    • 27644499141 scopus 로고    scopus 로고
    • Hull, B., Jamieson, K., Balakrishnan, H.: Mitigating Congestion in Wireless Sensor Networks SENSYS, Baltimore, Maryland, USA, Nov. 2004.
  • 10
    • 0036949534 scopus 로고    scopus 로고
    • Juang, P., Oki, H., Wang, Y., Martinosi, M., Peh, L. S., Rubenstein, D.: Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet. In: Proceedings of the 10th international Conference on Architectural Support for Programming Languages and Operating Systems San Jose, California, 5-9 October (2002).
  • 12
    • 0035397958 scopus 로고    scopus 로고
    • Plants in water-controlled ecosystems: active role in hydrologic process and response to water stress I:IV
    • Rodriguez-Iturbe, I., Porporato, A., Laio, F., Ridolfi, L.: Plants in water-controlled ecosystems: active role in hydrologic process and response to water stress I: IV. Adv. Water Resour. 24, 695-762 (2001).
    • (2001) Adv. Water Resour. , vol.24 , pp. 695-762
    • Rodriguez-Iturbe, I.1    Porporato, A.2    Laio, F.3    Ridolfi, L.4
  • 13
    • 77956872996 scopus 로고    scopus 로고
    • Rodriguez-Yam, G., Davis, R., Scharf, L.: Efficient Gibbs sampling of truncated multivariate normal with application to constrained linear regression (2004, submitted).
  • 14
    • 34250676986 scopus 로고    scopus 로고
    • Silberstein, A., Braynard, R., Yang, J.: Constraint-chaining: On energy-efficient continuous monitoring in sensor networks. In: Proc. of the 2006 ACM SIGMOD Intl. Conf. on Management of Data, Chicago, Illinois, USA, June 2006.
  • 15
    • 85011015549 scopus 로고    scopus 로고
    • Silberstein, A., Puggioni, G., Gelfand, A., Munagala, K., Yang, J.: Suppression and failures in sensor networks: a Bayesian approach. In: Proceedings of the 2007 International Conference on Very Large Data Bases (VLDB'07), Vienna, Austria, pp. 842-853 (2007a).
  • 16
    • 84863390803 scopus 로고    scopus 로고
    • Silberstein, A., Braynard, R., Filpus, G., Puggioni, G., Gelfand, A., Munagala, K., Yang, J.: Data-driven processing in sensor networks. In: Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, California, pp. 10-21 (2007b).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.