{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T15:54:31Z","timestamp":1776527671064,"version":"3.51.2"},"reference-count":26,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2016,7,1]],"date-time":"2016-07-01T00:00:00Z","timestamp":1467331200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2016,7]]},"abstract":"<jats:p> The uncertainty problem in sensor track to local track association is a difficult problem in distributed sensor networks, particularly when there is a big difference of sensors\u2019 tracking performance. To solve this problem, a weighted fuzzy track association (FTA) method based on Dempster\u2013Shafer theory is proposed. In the proposed method, five characteristics of sensor tracks from different sensors are established, and meanwhile their belief functions are defined to determine the corresponding beliefs. Considering the different effects of sensor tracks on track association, the reliabilities of sensor tracks are further presented and their magnitudes can be calculated by the combination belief function defined. Then, these reliabilities are used to reconstruct the fuzzy association degrees by the FTA method. The proposed method has an advantage that it can dynamically allocate the weight of each sensor track in association decision according to its characteristics. The performance of the proposed method is evaluated by using two experiments with simulation data in manoeuvring and uniform situations. It is found to be better than those of other two track association methods in tracking accuracy. <\/jats:p>","DOI":"10.1177\/1550147716658599","type":"journal-article","created":{"date-parts":[[2016,7,29]],"date-time":"2016-07-29T02:08:34Z","timestamp":1469758114000},"page":"155014771665859","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Weighted fuzzy track association method based on Dempster\u2013Shafer theory in distributed sensor networks"],"prefix":"10.1177","volume":"12","author":[{"given":"Lixin","family":"Fan","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"En","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China"},{"name":"ATR Key Laboratory, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changhong","family":"Yuan","sequence":"additional","affiliation":[{"name":"Air Defense Forces Academy, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keli","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,7,28]]},"reference":[{"key":"bibr1-1550147716658599","volume-title":"Information fusion theory with applications","author":"He Y","year":"2010"},{"issue":"6","key":"bibr2-1550147716658599","first-page":"15","volume":"5","author":"Fan E","year":"2014","journal-title":"Command Inform Syst Technol"},{"key":"bibr3-1550147716658599","first-page":"12","volume":"2015","author":"Liu Y","year":"2015","journal-title":"Int J Distrib Sens Network"},{"key":"bibr4-1550147716658599","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/1687-6180-2014-9","volume":"2014","author":"Fan E","year":"2014","journal-title":"Eur J Adv Signal Proc"},{"key":"bibr5-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2011.08.001"},{"key":"bibr6-1550147716658599","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s13634-014-0190-x","volume":"2015","author":"Liu ZX","year":"2015","journal-title":"EURASIP J Adv Signal Proc"},{"key":"bibr7-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2015.05.007"},{"key":"bibr8-1550147716658599","first-page":"1158","volume-title":"Proceedings of 7th International Conference on Information Fusion","volume":"2","author":"Rogova GL"},{"issue":"7","key":"bibr9-1550147716658599","first-page":"1589","volume":"39","author":"Chen SY","journal-title":"Acta Electron Sin"},{"issue":"2","key":"bibr10-1550147716658599","first-page":"226","volume":"27","author":"Ran Y","year":"2011","journal-title":"J Signal Process"},{"key":"bibr11-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1166\/sl.2014.3274"},{"issue":"9","key":"bibr12-1550147716658599","first-page":"1341","volume":"27","author":"Zhang ZC","year":"2011","journal-title":"J Signal Process"},{"issue":"2","key":"bibr13-1550147716658599","first-page":"433","volume":"96","author":"Li Z","year":"2014","journal-title":"IEEE Trans Aeros Electron Syst"},{"key":"bibr14-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2007.01.001"},{"issue":"2","key":"bibr15-1550147716658599","first-page":"181","volume":"30","author":"Jing PL","year":"2012","journal-title":"J Appl Sci Electron Inform Eng"},{"issue":"1","key":"bibr16-1550147716658599","first-page":"49","volume":"2","author":"Bar-Shalom Y","year":"2007","journal-title":"J Adv Inform Fus"},{"key":"bibr17-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2008.4560213"},{"key":"bibr18-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2002.1008994"},{"key":"bibr19-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.10.011"},{"key":"bibr20-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1007\/s40815-015-0011-x"},{"issue":"2","key":"bibr21-1550147716658599","first-page":"245","volume":"31","author":"Qiao XD","year":"2009","journal-title":"Syst Eng Electron"},{"key":"bibr22-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.1997.554211"},{"issue":"2","key":"bibr23-1550147716658599","first-page":"182","volume":"36","author":"Zhang WJ","year":"2006","journal-title":"Sci China Ser E Inform Sci"},{"key":"bibr24-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1515\/9780691214696"},{"key":"bibr25-1550147716658599","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(87)90040-3"},{"key":"bibr26-1550147716658599","volume-title":"Fuzzy mathematics","author":"Li HX","year":"2014"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147716658599","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1550147716658599","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147716658599","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T20:09:28Z","timestamp":1616616568000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1177\/1550147716658599"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7]]},"references-count":26,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2016,7,1]]}},"alternative-id":["10.1177\/1550147716658599"],"URL":"https:\/\/doi.org\/10.1177\/1550147716658599","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"value":"1550-1477","type":"print"},{"value":"1550-1477","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,7]]}}}