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Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. [...]... [7,38]), data from GPS enabled devices such as cars and phones and surveillance data are further examples Surveillance systems may include sophisticated sensors equipped with cameras and UAVs but nevertheless they produce streams of videos or streams of events In some applications, raw data is processed in the nodes to detect events, defined as some suitable function on the data, and only the streams. .. www.verypdf.com to remove this watermark DATA STREAMS: MODELS AND ALGORITHMS References [I] Ali, M H., Mokbel M F., Aref W G and Kame1 I (2005) Detectioin and Tracking of Discrete Phenomena in Sensor-Network Databases In Proceedings of the 17th International Conference on ScientiJic and Statistical Database Management [2] Aslam J., Butler Z., Constantin F., Crespi V.,Cybenko G and Rus D (2003) Tracking a Moving... [23] C Olston, J Jiang, and J Widom Adaptive filters for continuous queries over distributed data streams In ACM SIGMOD '03 International Conference on Management o Data, 2003 f [24] J Widom and R Motwani Query processing, resource management, and approximation in a data stream management system In CIDR, 2003 [25] R Wolff, K Bhaduri, and H Kargupta Local L2 thresholding based data f mining in peer-to-peer... they are considered as very valuable and attractive tools for many research and industrial applications Motes is one example of sensor devices developed by UC Berkeley and manufactured by Crossbow Technology Inc [13] lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 334 DATA STREAMS: MODELS AND ALGORITHMS Sensor observations form streams of data that are either processed in-situ... predicate is true and the predicate is false if it is very low Otherwise, the sensor is required to transmit more data and the model is updated In addition to updating the model with the new observations transmitted, the model is also updated over time with one or more transition models lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark DATA STREAMS: MODELS AND ALGORITHMS t... Management of Data [I 61 Deshpande A., Guestrin C., Madden S R., Hellerstein J M and Hong W (2004) Model-Driven Data Acquisition in Sensor Networks In Proceedings of the 30th International Conference on Very Large Data Bases [17] Deshpande A., Guestrin C., Hong W and Madden S (2005) Exploiting Correlated Attributes in Acquisitional Query Processing In Proceedings of the 21st International Conference on Data. .. watermark 350 DATA STREAMS: MODELS AND ALGORITHMS Proceedings of the 17th International Conference on ScientiJic and Statistical Database Management [25] Hellerstein J M., Hong W., Madden S and Stanek K (2003) Beyond Average: Toward Sophisticated Sensing with Queries.International Workshop on Information Processing in Sensor Networks [26] Hwang I., Balakrishnan H., Roy K., Shin J., Guibas L and Tomlin... TAG and COUGAR framework can be reduced M e r through group-aware network configuration, where sensors belonging to same group are clustered along the same path, and by suppressing transmissions of measurements with temporal coherency lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 340 DATA STREAMS: MODELS AND ALGORITHMS Focusing on duplicate sensitive queries such as SUM and. .. applicable in certain sensor based applications In long running queries, streams from different sensors are continuously transmitted to other sensors where the query operator is applied on the data lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 342 DATA STREAMS: MODELS AND ALGORITHMS Since the rate at which the data is produced by the operator varies over time, a dynamic assignment... analysis Consequently data aggregation, data compression, modeling and online querying techniques need to be applied in-site or in-network to reduce communication across the network Furthermore, limitations of computational power and inaccuracy and bias in the sensor readings necessitate efficient data processing algorithms for sensor systems In addition, sensor nodes are prone to failures and aberrant behaviors

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[6] Bonnet P., Gehrke J., and Seshadri P. (2001) Towards Sensor Database Systems. In Proceedings of the 2nd International Conference on Mobile Data Management, London, UK Sách, tạp chí
Tiêu đề: In Proceedings of the 2nd International Conference on Mobile Data Management
[15] Deligiannakis A., Kotidis Y and Roussopoulos N. (2004) Compressing Historical Information in Sensor Networks. In Proceedings of the ACM SIGMOD International Conference on Management of Data.[I 61 Deshpande A., Guestrin C., Madden S. R., Hellerstein J. M. and Hong W Sách, tạp chí
Tiêu đề: Y "and Roussopoulos N. (2004) Compressing Historical Information in Sensor Networks. "In Proceedings of the ACM SIGMOD International Conference on Management of Data
[27] Heinzelman, W. R., Chandrakasan A. and Balakrishnan H. (2000) Energy- Efficient Communication Protocol for Wireless Microsensor Networks. In Proceedings of the 33rd Hawaii Intl. Con$ on System Sciences, Volume 8 Sách, tạp chí
Tiêu đề: In Proceedings of the 33rd Hawaii Intl. Con$ on System Sciences
[30] Lazaridis I., and Mehrotra S. (2003) Capturing sensor-generated time se- ries with quality guarantees. In Proceedings of the 19th International Con- ference on Data Engineering.[3 11 Lin S., Kalogeraki V., Gunopulos D. and Lonardi S. (2006) Online Infor- mation Compression in Sensor Networks. In Proceedings ofIEEE Interna- tional Conference on Communications Sách, tạp chí
Tiêu đề: Proceedings of the 19th International Con- ference on Data Engineering. "[3 11 Lin S., Kalogeraki V., Gunopulos D. and Lonardi S. (2006) Online Infor- mation Compression in Sensor Networks
[39] Omar S. A. Assessment of Oil Contamination in Oil Trenches Located in Two Contrasting Soil Types, (2001) Conference on Soil, Sediments and Water: Arnherst, MA, USA Sách, tạp chí
Tiêu đề: Conference on Soil, Sediments and Water
[41] Pottie G. J., and Kaiser W. J. (2000) Wireless integrated network sensors. In Communications of the ACM, Volume 43, Issue 5 Sách, tạp chí
Tiêu đề: In Communications of the ACM
[42] Palpanas T., Papadopoulos D., Kalogeraki V. and Gunopulos D. (2003) Distributed deviation detection in sensor networks. ACM SIGMOD Records, Volume 32, Issue 4 Sách, tạp chí
Tiêu đề: ACM SIGMOD Records
[45] Sharaf M . A., Beaver J., Labrinidis A. and Chrysanthis P. K. (2004) Bal- ancing energy efficiency and quality of aggregate data in sensor networks.The VLDB Journal Sách, tạp chí
Tiêu đề: M . "A., Beaver J., Labrinidis A. and Chrysanthis P. K. (2004) Bal- ancing energy efficiency and quality of aggregate data in sensor networks
[46] Shin J., Guibas L. and Zhao F. (2003) Distributed Identity Management Algorithm in Wireless Ad-hoc Sensor Network. 2nd Int '1 Workshop on Information Processing in Sensor Networks1471 Shrivastava N., Buragohain C., Agrawal D. and Suri S. (2004) Medians and Beyond: New Aggregation Techniques for Sensor Networks. In Pro- ceedings of ACM SenSys Sách, tạp chí
Tiêu đề: 2nd Int '1 Workshop on Information Processing in Sensor Networks "1471 Shrivastava N., Buragohain C., Agrawal D. and Suri S. (2004) Medians and Beyond: New Aggregation Techniques for Sensor Networks
[2] Aslam J., Butler Z., Constantin F., Crespi V., Cybenko G. and Rus D. (2003) Tracking a Moving Object with a Binary Sensor Network. In Proceedings of ACM SenSys Khác
[3] Babcock B., and Olston C. (2003) Distributed top-k monitoring. In Pro- ceedings of the ACM SIGMOD International Conference on Management of Data Khác
[4] Biswas R., Thrun S. and Guibas L. J. (2004) A probabilistic approach to inference with limited information in sensor networks. In Proceedings of the 3rd International Conference on Information Processing in Sensor Networks Khác
[5] Bonfils, B. J., and Bonnet P. (2003) Adaptive and Decentralized Oper- ator Placement for In-Network Query Processing. In Proceedings of 2nd International Conference on Information Processing in Sensor Networks Khác
[7] Cerpa A., Elson J., Estrin D., Girod L., Hamilton M. and Zhao J. (2001) Habitat monitoring: Application driver for wireless communications tech- nology. In Proceedings of ACM SIGCOMM Workshop on Data Communi- cations in Latin America and the Caribbean Khác
[8] Cerpa A. and Estrin D. (2002) ASCENT: Adaptive Self-configuring sEnsor Networks Topologies. In Proceedings of IEEE INFOCOM Khác
[14] Deligiannakis A., Kotidis Y. and Roussopoulos N. (2004) Hierarchical in-Network Data Aggregation with Quality Guarantees. Proceedings of the 9th International Conference on Extending DataBase Technology Khác
[17] Deshpande A., Guestrin C., Hong W. and Madden S. (2005) Exploiting Correlated Attributes in Acquisitional Query Processing. In Proceedings of the 21st International Conference on Data Engineering Khác
[20] Guestrin C., Bodik P., Thibaux R., Paskin M. and Madden S. (2004) Dis- tributed Regression: an Efficient Framework for Modeling Sensor Network Data. In Proceedings of the 3rd International Conference on Information Processing in Sensor Networks Khác
[21] Halkidi M., Papadopoulos D., Kalogeraki V. and Gunopulos D., (2005) Resilient and Energy Efficient Tracking in Sensor Networks. International Journal of Mreless and Mobile Computing Khác
[22] Halkidi M., Kalogeraki V., Gunopulos D., Papadopoulos D., Zeinalipour- Yazti D. and Vlachos M. (2006) Efficient Online State Tracking Using Sensor Networks. In Proceedings of the 7th International Conference on Mobile Data Management Khác

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