Compressing Moving Object Trajectory in Wireless Sensor Networks

References

• Aslam , J. , Butler , Z. , Constantin , F. , Crespi , V. , Cybenko , G. and Rus , D. 2003 . Tracking a moving object with a binary sensor networks . Proceedings of ACM SenSys . 2003 . pp. 150 – 161 .
   Google Scholar
• Bai , F. , Helmy , A. and Sadagopan , N. 2003 . The important framework for analyzing the impact of mobility on performance of routing for ad hoc networks . AdHoc Networks Journal , 1 ( 4 ) : 383 – 403 .
   Google Scholar
• Smart Cars and Automated Highways. http://www.memagazine.org/backissues/may98/features/smarter/smarter.html
   Google Scholar
• Coates , M. J. 2004 . Distributed particle filtering for sensor networks . Proceedings of International Symposium on Information Processing in Sensor Networks . 2004 .
   Google Scholar
• Considine , J. , Li , F. , Kollios , G. and Byers , J. 2004 . Approximate aggregation techniques for sensor databases . Proceedings of International Conference on Data Engineering . Mar 2004 , Boston, MA.
   Google Scholar
• Deligiannakis , A. , Kotidis , Y. and Roussopoulos , N. . Compressing historical information in sensor networks . Proceedings of ACM SIGMOD International Conference on Management of Data . France. pp. 527 – 538 .
   Google Scholar
• Estrin , D. , Govindan , R. , Heidemann , J. and Kumar , S. 1999 . Next century challenges: Scalable coordination in sensor networks . Proceedings of the ACM/IEEE International Conference on Mobile Computing and Networking . August 1999 , Seattle, Washington. pp. 263 – 270 .
   Google Scholar
• Fang , Q. , Zhao , F. and Guibas , L. . Lightweight sensing and communication protocols for target enumeration and aggregation . Proceedings of ACM MobiHoc . pp. 165 – 176 .
   Google Scholar
• Goel , S. and Imielinski , T. 2001 . Prediction-based monitoring in sensor networks: taking lessons from MPEG . ACM Computer Communication Review , 31 5, October
   Google Scholar
• Guestrin , C. , Bodik , P. , Thibaux , R. , Paskin , M. and Madden , S. 2004 . Distributed regression: an efficient framework for modeling sensor network data . Proceedings of IPSN . Apr. 2004 , Berkeley, CA.
   Google Scholar
• Heinzelman , W. R. , Chandrakasan , A. and Balakrishnan , H. 2000 . Energy-efficient communication protocol for wireless microsensor networks . IEEE Proceedings of the Hawaii International Conference on System Sciences (HICSS) . 2000 , Maui, Hawaii. January ,
   Google Scholar
• Hill , J. , Szewczyk , R. , Woo , A. , Hollar , S. , Culler , D. and Pister , K. 2000 . System architecture directions for networked sensors . ACM SIGPLAN Notices , 35 ( 11 ) : 93 – 104 .
   Web of Science ®Google Scholar
• Fire Information and Rescue Information: SmokeNet Project http://fire.me.berkeley.edu/
   Google Scholar
• Ing , G. and Coates , M. J. 2005 . Parallel particle filters for tracking in wireless sensor networks . Proceedings of Workshop on Signal Processing Advances in Wireless Communications . 2005 . Jun. ,
   Google Scholar
• Liu , J. , Petrovic , D. and Zhao , F. 2003 . Multi-step information-directed sensor querying in distributed sensor networks . Proceedings of International Conference on Acoustics, Speech and Signal Processing . 2003 . Apr. ,
   Google Scholar
• Madden , S. , Franklin , M. J. , Hellerstein , J. M. and Hong , W. 2002 . TAG: a tiny aggregation service for ad-hoc sensor networks . ACM SIGOPS Operating Systems Review , 36 ( SI ) : 131 – 146 .
   Google Scholar
• Madden , S. R. , Franklin , M. J. , Hellerstein , J. M. and Hong , W. . The design of an acquisitional query processor for sensor networks . Proceedings of ACM SIGMOD Conference . 2003 , San Diego, CA. June , pp. 491 – 502 .
   Google Scholar
• Manfredi , V. , Mahadevan , S. , Kurose , J. F. and Lesser , V. 2005 . Switching kalman filtrs for prediction and tracking in adaptive meteorological sensing network . Proceedings of IEEE Conference on Sensor and Ad Hoc Communications and Networks . 2005 .
   Google Scholar
• Meng , X. , Nandagopal , T. , Li , L. and Lu , S. 2006 . Contour maps: Monitoring and diagnosis in sensor networks . Computer Networks Journal ,
   Google Scholar
• Nath , S. , Gibbons , P. B. , Seshan , S. and Anderson , Z. R. 2004 . Synopsis diffusion for robust aggregation in sensor networks . Proceedings of ACM Sensys . Nov. 2004 , Baltimore, MD. pp. 250 – 262 .
   Google Scholar
• Habitat Monitoring on Great Duck Island http://www.greatduckisland.net/
   Google Scholar
• Raghunathan , V. , Schurgers , C. , Park , S. and Srivastava , M. B. 2002 . Energy aware wireless microsensor networks . IEEE Signal Processing Magazine , 19 ( 2 ) March : 40 – 50 .
   Web of Science ®Google Scholar
• Ratnasamy , S. , Karp , B. , Shenker , S. , Estrin , D. , Govindan , R. , Yin , L. and Yu , F. 2003 . Data-centric storage in sensornets with GHT, a geographic hash table . Mobile Networks and Applications , 8 ( 4 ) : 427 – 442 .
   Web of Science ®Google Scholar
• Sharaf , A. , Beaver , J. , Labrinidis , Al and Chrysanthis , K. 2004 . Balancing energy efficiency and quality of aggregate data in sensor networks . The VLDB Journal , 13 ( 4 ) : 384 – 403 .
   Web of Science ®Google Scholar
• Silberstein , A. , Braynard , R. and Yang , J. 2006 . Energy-efficient continuous isoline queries in sensor networks . Proceedings of IEEE ICDE . Apr. 2006 .
   Google Scholar
• Xu , Y. and Lee , W.-C. 2003 . On localized prediction for power efficient object tracking in sensor networks . Proceedings of the First International Workshop on Mobile Distributed Computing . May 2003 , Providence, Rhode Island. pp. 434 – 439 .
   Google Scholar
• Xu , Y. , Lee , W. C. , Xu , J. and Mitchell , G. 2006 . Processing window queries in wireless sensor networks . Proceedings of IEEE ICDE . Apr. 2006 , Atlanta, GA.
   Google Scholar
• Xu , Y. , Winter , J. and Lee , W.-C. 2004 . Dual prediction-based reporting mechanism for object tracking sensor networks . Proceedings of the International Conference on Mobile and Ubiquitous Systems: Networking and Services . Aug. 2004 , Boston, MA. Mitchell. Processing window queries in wireless sensor networks. in , pp. 154 – 163 .
   Google Scholar
• Xu , Y. , Winter , J. and Lee , W.-C. 2004 . Prediction-based strategies for energy saving in object tracking sensor networks . Proceedings of the International Conference on Mobile Data Management . Jan. 2004 , Berkely, CA. Mitchell. Processing window queries in wireless sensor networks. in , pp. 346 – 357 .
   Google Scholar
• The ZebraNet Wildlife Tracker. Princeton university http://www.princeton.edu/mrm/zebranet.html
   Google Scholar
• Zhao , F. , Shin , J. and Reich , J. 2002 . Information-driven dynamic sensor collaboration for tracking applications . IEEE Signal Processing Magazine , 19 ( 2 ) March : 61 – 72 .
   Google Scholar