{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T16:38:08Z","timestamp":1718815088650},"reference-count":41,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2016,8,1]],"date-time":"2016-08-01T00:00:00Z","timestamp":1470009600000},"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":[[2016,8]]},"abstract":"<jats:p> One of the most significant researches in location-based services is the development of effective indoor localization. In this work, we propose a novel model of fingerprint localization, which divides location area into different subareas by fuzzy C-means and calculates location via relative distance fuzzy localization. In offline training stage, fuzzy C-means algorithm is used in localization model to divide localization area into different subareas and then to select the useful access points in subareas to reduce the dimensions of fingerprint. In online location stage, we use the nearest neighbor algorithm to select the subareas and to calculate the coordinate of the target point according to relative distance fuzzy localization algorithm, which converts traditional fingerprint of reference points into distance fingerprint and calculates the coordinate of the target point by fuzzy C-means algorithm. The noise and non-linear attenuation between the wireless signal and distance are taken into full consideration in relative distance fuzzy localization algorithm, which eliminates the random environmental noise. Experiments show that our proposed model is able to save the calculation time and improve the localization accuracy. <\/jats:p>","DOI":"10.1177\/1550147716661932","type":"journal-article","created":{"date-parts":[[2016,8,25]],"date-time":"2016-08-25T00:40:23Z","timestamp":1472085623000},"page":"155014771666193","update-policy":"http:\/\/dx.doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Indoor localization based on subarea division with fuzzy C-means"],"prefix":"10.1177","volume":"12","author":[{"given":"Junhuai","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China"},{"name":"Shaanxi Key Laboratory for Network Computing and Security Technology, Xi\u2019an University of Technology, Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jubo","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rong","family":"Fei","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China"},{"name":"Shaanxi Key Laboratory for Network Computing and Security Technology, Xi\u2019an University of Technology, Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixiao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China"},{"name":"Shaanxi Key Laboratory for Network Computing and Security Technology, Xi\u2019an University of Technology, Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaijun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Xi\u2019an University of Technology, Xi\u2019an, China"},{"name":"Shaanxi Key Laboratory for Network Computing and Security Technology, Xi\u2019an University of Technology, Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,8,24]]},"reference":[{"key":"bibr2-1550147716661932","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2014.2310471"},{"key":"bibr3-1550147716661932","first-page":"93","volume-title":"WFCS 2008 IEEE international workshop on factory communication systems","author":"Ivanov S"},{"key":"bibr4-1550147716661932","doi-asserted-by":"publisher","DOI":"10.1109\/2.940014"},{"key":"bibr5-1550147716661932","first-page":"1","volume-title":"MILCOM 2008, military communications conference","author":"Friedman J"},{"key":"bibr6-1550147716661932","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2005.861207"},{"key":"bibr7-1550147716661932","first-page":"410","volume-title":"2010 3rd IEEE international conference on computer science and information technology (ICCSIT)","author":"Ai Z"},{"key":"bibr8-1550147716661932","first-page":"1","volume-title":"11th European wireless conference 2011\u2014sustainable wireless technologies (European wireless)","author":"Laaraiedh M"},{"key":"bibr9-1550147716661932","first-page":"21","volume-title":"Third IEEE international conference on wireless and mobile computing, networking and communications WiMOB","author":"Bekkali A"},{"key":"bibr10-1550147716661932","volume-title":"Indoor positioning techniques and approaches for Wi-Fi based systems","author":"Abusara AM.","year":"2015"},{"key":"bibr11-1550147716661932","first-page":"915","volume-title":"CHINACOM\u201907. 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