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However, the site survey process which is executed before fingerprint positioning is time consuming and labor intensive. Sampling cell size directly affects the localization precision and the survey workload. We propose a sampling cell size optimization method to release the survey workload while holding the precision. We adopted the Gaussian process model to estimate the received signal strength based on some samples and used the inherent maximum Euclidean error of fingerprint vectors to compute the optimal cell size. We conduct some experiments to validate the efficiency of the mechanism. And the results show that our method can largely reduce the workload of the site survey process. <\/jats:p>","DOI":"10.1155\/2014\/273801","type":"journal-article","created":{"date-parts":[[2014,9,2]],"date-time":"2014-09-02T21:00:42Z","timestamp":1409691642000},"page":"273801","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Optimization of Sampling Cell Size for Fingerprint Positioning"],"prefix":"10.1177","volume":"10","author":[{"given":"Wei","family":"Liu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongle","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongping","family":"Xiong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Limin","family":"Sun","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of IOT Information Security Technology, IIE, CAS, Beijing 100093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongsong","family":"Zhu","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of IOT Information Security Technology, IIE, CAS, Beijing 100093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,9,1]]},"reference":[{"key":"B1-2014-273801","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2013.6555313"},{"key":"B2-2014-273801","volume":"2014","author":"Kim J.-H.","year":"2014","journal-title":"EURASIP Journal on Wireless Communications and Networking"},{"key":"B3-2014-273801","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2013.6567105"},{"key":"B4-2014-273801","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2012.179"},{"key":"B5-2014-273801","doi-asserted-by":"publisher","DOI":"10.1145\/2348543.2348580"},{"key":"B6-2014-273801","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2012.6349802"},{"key":"B8-2014-273801","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2009.5199566"},{"volume-title":"Gaussian Processes for Machine Learning","year":"2006","author":"Rasmussen C. 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