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Silberstein, G. Puggioni, A. Gelfand, K. Munagala and J. Yang, \"Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach,\" In Proceedings of the International Conference on Very Large Data Bases (VLDB), 2007."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1127777.1127801"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/SUTC.2010.30"},{"key":"ref23","volume-title":"Compressive wireless arrays for bearing estimation of sparse sources in angle domain","author":"Cevher","year":"2008","unstructured":"[32]V. Cevher, A. C. Gurbuz, J. H. McClellan, and R. 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Ortega, \"Compressed sensing and routing in multi-hop networks,\" USC Technical Report, 2009. http:\/\/ceng.usc.edu\/assets\/002\/64814.pdf","DOI":"10.1007\/978-3-642-02903-5_2"},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"[21]Quer, G., Masierto, R., Munaretto, D., Rossi, M., Widmer, and J., Zorzi, M, \"On the interplay between routing and signal representation for compressive sensing in wireless sensor network,\" ITA, February 2009.","DOI":"10.1109\/ITA.2009.5044947"},{"key":"ref27","unstructured":"[23]W. Bajwa, J. Haupt, A. Sayeed and R. Nowak, \"Joint source-channel communication for distributed estimation in sensor networks,\" IEEE Trans. on Information Theory, 53(10) pp. 3629-3653, October 2007."},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"[27]Riccardo Masiero, Giorgio Quer, Daniele Munaretto, Michele Rossi, Joerg Widmer and Michele Zorzi, \"Data Acquisition through joint Compressive Sensing and Principal Component Analysis,\" IEEE Globecom, Nov.-Dec. 2009.","DOI":"10.1109\/GLOCOM.2009.5425458"},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"[33]A. Khelil, F. K. Shaikh, A. Ali and N. Suri, \"gMAP: An Efficient Construction of Global Maps for Mobility- Assisted Wireless Sensor Networks,\" In the Sixth Annual Conference on Wireless On demand Network Systems and Services (WONS), 2009.","DOI":"10.1109\/WONS.2009.4801837"},{"key":"ref27","unstructured":"[34]Moshe Mishali and Yonina C. 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