{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T12:48:20Z","timestamp":1772196500874,"version":"3.50.1"},"reference-count":15,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2002,8,1]],"date-time":"2002-08-01T00:00:00Z","timestamp":1028160000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of High Performance Computing Applications"],"published-print":{"date-parts":[[2002,8]]},"abstract":"<jats:p> This paper describes two novel techniques, information-driven sensor querying (IDSQ) and constrained anisotropic diffusion routing (CADR), for energy-efficient data querying and routing in ad hoc sensor networks for a range of collaborative signal processing tasks. The key idea is to introduce an information utility measure to select which sensors to query and to dynamically guide data routing. This allows us to maximize information gain while minimizing detection latency and bandwidth consumption for tasks such as localization and tracking. Our simulation results have demonstrated that the information-driven querying and routing techniques are more energy efficient, have lower detection latency, and provide anytime algorithms to mitigate risks of link\/node failures. <\/jats:p>","DOI":"10.1177\/10943420020160030901","type":"journal-article","created":{"date-parts":[[2009,6,16]],"date-time":"2009-06-16T23:32:39Z","timestamp":1245195159000},"page":"293-313","source":"Crossref","is-referenced-by-count":402,"title":["Scalable Information-Driven Sensor Querying and Routing for Ad Hoc Heterogeneous Sensor Networks"],"prefix":"10.1177","volume":"16","author":[{"given":"Maurice","family":"Chu","sequence":"first","affiliation":[{"name":"XEROX PALO ALTO RESEARCH CENTER, USA"}]},{"given":"Horst","family":"Haussecker","sequence":"additional","affiliation":[{"name":"XEROX PALO ALTO RESEARCH CENTER, USA"}]},{"family":"Feng Zhao","sequence":"additional","affiliation":[{"name":"XEROX PALO ALTO RESEARCH CENTER, USA"}]}],"member":"179","published-online":{"date-parts":[[2002,8,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1177\/10943420020160030201"},{"key":"atypb2","volume-title":"Proceedings of IEEE MobiHOC 2000","author":"Byers, J."},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611"},{"key":"atypb4","volume-title":"Sequential Monte-Carlo Methods in Practice","author":"Doucet, A.","year":"2000"},{"key":"atypb5","volume-title":"Proceedings of the Fifth Annual International Conference on Mobile Computing and Networks (MobiCOM '99)","author":"Estrin, D."},{"key":"atypb6","volume-title":"Proceedings of the 17th Symposium on Computational Geometry","author":"Gao, J."},{"key":"atypb7","doi-asserted-by":"publisher","DOI":"10.1109\/34.476006"},{"key":"atypb8","volume-title":"Proceedings of MobiDE-01","author":"Huang, Y."},{"key":"atypb9","doi-asserted-by":"publisher","DOI":"10.1145\/345910.345920"},{"key":"atypb10","volume-title":"Data Fusion and Sensor Management: A decentralized information-theoretic Approach","author":"Manyika, J.","year":"1994"},{"key":"atypb11","volume-title":"Decentralized Estimation and Control for Multi-sensor Systems","author":"Mutambara, A.G.O.","year":"1998"},{"key":"atypb12","volume-title":"Geometric fusion: Minimizing uncertainty ellipsoid volumes","author":"Nakamura, Y.","year":"1992"},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.1145\/332833.332838"},{"key":"atypb14","volume-title":"Proceedings of MOBICOM'98","author":"Singh, S."},{"key":"atypb15","doi-asserted-by":"publisher","DOI":"10.1109\/98.878532"}],"container-title":["The International Journal of High Performance Computing Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10943420020160030901","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10943420020160030901","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T18:22:31Z","timestamp":1740939751000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/10943420020160030901"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,8]]},"references-count":15,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2002,8]]}},"alternative-id":["10.1177\/10943420020160030901"],"URL":"https:\/\/doi.org\/10.1177\/10943420020160030901","relation":{},"ISSN":["1094-3420","1741-2846"],"issn-type":[{"value":"1094-3420","type":"print"},{"value":"1741-2846","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,8]]}}}