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They are based on the clustered RSN model which combines clustering structure, target detection model, and fusion scheme. We mainly apply the clustering performances by low energy adaptive clustering hierarchy (LEACH) and hybrid energy-efficient distributed clustering approach (HEED) to RSN. Their CFAR detection performances in LLDFCLT and HLDFKE are analyzed and compared. Our analyses are verified through extensive simulations in different CFARs and various numbers of initial RSs and residual RSs in RSN. Monte Carlo simulations show that LLDFCLT can provide higher probability of detection (PD) than HLDFKE; and compared to LEACH, HEED not only prolongs the lifetime of ad hoc RSN but also improves target detection performances for different CFARs.<\/jats:p>","DOI":"10.1155\/2015\/987526","type":"journal-article","created":{"date-parts":[[2015,10,12]],"date-time":"2015-10-12T23:19:58Z","timestamp":1444691998000},"page":"1-9","source":"Crossref","is-referenced-by-count":4,"title":["CFAR Decision Fusion Approaches in the Clustered Radar Sensor Networks Using LEACH and HEED"],"prefix":"10.1177","volume":"2015","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8770-7409","authenticated-orcid":true,"given":"Yaoyue","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2011.45"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1049\/ecej:20000406"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/maes.2003.1183861"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/26.843135"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/tpds.2006.124"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2002.804190"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2009.5373747"},{"issue":"4","key":"20","first-page":"366","volume":"55","year":"2004","journal-title":"IEEE Transactions on Mobile Computing"},{"issue":"1","key":"21","first-page":"129","volume":"22","year":"2007","journal-title":"IEEE Transactions on Aerospace and Electronic Systems"},{"key":"22","year":"1997"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/taes.2003.1188892"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2004.837404"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdsn\/2015\/987526.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/ijdsn\/2015\/987526.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2015\/987526","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T23:43:12Z","timestamp":1589586192000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/ijdsn\/2015\/987526\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":13,"alternative-id":["987526","987526"],"URL":"https:\/\/doi.org\/10.1155\/2015\/987526","relation":{},"ISSN":["1550-1329","1550-1477"],"issn-type":[{"value":"1550-1329","type":"print"},{"value":"1550-1477","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}