{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:20:33Z","timestamp":1750306833077,"version":"3.41.0"},"reference-count":29,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Sen. Netw."],"published-print":{"date-parts":[[2014,1]]},"abstract":"<jats:p>Phenomena clouds are characterized by nondeterministic, dynamic variations of shapes, sizes, direction, and speed of motion along multiple axes. The phenomena detection and tracking should not be limited to some traditional applications such as oil spills and gas clouds but also be utilized to more accurately observe other types of phenomena such as walking motion of people. This wider range of applications requires more reliable, in-situ techniques that can accurately adapt to the dynamics of phenomena. Unfortunately, existing works which only focus on simple and well-defined shapes of phenomena are no longer sufficient.<\/jats:p>\n          <jats:p>In this article, we present a new class of applications together with several distributed algorithms to detect and track phenomena clouds, regardless of their shapes and movement direction. We first propose a distributed algorithm for in-situ detection and tracking of phenomena clouds in a sensor space. We next provide a mathematical model to optimize the energy consumption, on which we further propose a localized algorithm to minimize the resource utilization. Our proposed approaches not only ensure low processing and networking overhead at the centralized query processor but also minimize the number of sensors which are actively involved in the detection and tracking processes. We validate our approach using both real-life smart home applications and simulation experiments, which confirm the effectiveness of our proposed algorithms. We also show that our algorithms result in significant reduction in resource usage and power consumption as compared to contemporary stream-based approaches.<\/jats:p>","DOI":"10.1145\/2530525","type":"journal-article","created":{"date-parts":[[2014,1,28]],"date-time":"2014-01-28T13:49:22Z","timestamp":1390916962000},"page":"1-33","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["On detection and tracking of variant phenomena clouds"],"prefix":"10.1145","volume":"10","author":[{"given":"My T.","family":"Thai","sequence":"first","affiliation":[{"name":"University of Florida, Gainesville, FL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ravi","family":"Tiwari","sequence":"additional","affiliation":[{"name":"University of Florida, Gainesville, FL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raja","family":"Bose","sequence":"additional","affiliation":[{"name":"University of Florida, Gainesville, FL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdelsalam","family":"Helal","sequence":"additional","affiliation":[{"name":"University of Florida, Gainesville, FL"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,1,31]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2007.05.024"},{"volume-title":"Proceedings of the 17th International Conference on Scientific and Statistical Database Management (SSDBM'05)","author":"Ali M.","key":"e_1_2_1_2_1","unstructured":"M. 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In Proceedings of the International Conference on Intelligent Environments (IE'09) . R. Bose and A. Helal. 2009. Localized in-network detection and tracking of phenomena clouds using wireless sensor networks. In Proceedings of the International Conference on Intelligent Environments (IE'09)."},{"volume-title":"Proceedings of the 4th International Conference on Smart Homes and Health Telematics.","author":"Bose R.","key":"e_1_2_1_6_1","unstructured":"R. Bose , J. King , H. El-Zabadani , S. Pickles , and A. Helal . 2006. Building plug-and-play smart homes using the atlas platform . In Proceedings of the 4th International Conference on Smart Homes and Health Telematics. R. Bose, J. King, H. El-Zabadani, S. Pickles, and A. Helal. 2006. Building plug-and-play smart homes using the atlas platform. 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In Proceedings of the IEEE International Conference on Communications. 3807--3811."},{"volume-title":"Proceedings of the 46th IEEE Conference on Decision and Control. 4918--4923","author":"Jin Z.","key":"e_1_2_1_14_1","unstructured":"Z. Jin and A. L. Bertozzi . 2007. Environmental boundary tracking and estimation using multiple autonomous vehicles . In Proceedings of the 46th IEEE Conference on Decision and Control. 4918--4923 . Z. Jin and A. L. Bertozzi. 2007. Environmental boundary tracking and estimation using multiple autonomous vehicles. In Proceedings of the 46th IEEE Conference on Decision and Control. 4918--4923."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/605432.605408"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69293-5_26"},{"volume-title":"Proceeding of the 1st IEEE International Workshop on Practical Issues in Building Sensor Network Applications.","author":"King J.","key":"e_1_2_1_17_1","unstructured":"J. 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