{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:43:26Z","timestamp":1740141806847,"version":"3.37.3"},"reference-count":27,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2014,3,1]],"date-time":"2014-03-01T00:00:00Z","timestamp":1393632000000},"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":[[2014,3,1]]},"abstract":"<jats:p> To estimate the mobile location is an important topic in wireless communication. It is well known that non-line-of-sight (NLOS) problem is the most pivotal part that causes the estimated error. When we transmit the signal from mobile station (MS) to base stations (BSs), the direct path between MS and BS is sealed off by some obstacles, and the signal measurements will measure the error due to the signal reflection or diffraction. The hybrid Taguchi-genetic algorithm (HTGA) combines the Taguchi method with the genetic algorithm (GA). In this paper, we bring up a novel HTGA algorithm that utilizes time of arrival (TOA) measurements from three BSs to locate MS. The proposed algorithm utilizes the intersections of three TOA circles based on HTGA to estimate the MS location. Finally, we compare HTGA with GA and find that the Taguchi algorithm can enhance genetic algorithm. We also can find that the average convergence of generation number will not be affected no matter which propagation models we use. Obviously HTGA is more robust, statistically sound, and quickly convergent than the other algorithms. The simulation results show that the HTGA can converge more quickly than GA and furthermore the HTGA can enhance the accuracy of the mobile location. <\/jats:p>","DOI":"10.1155\/2014\/489563","type":"journal-article","created":{"date-parts":[[2014,3,25]],"date-time":"2014-03-25T04:01:24Z","timestamp":1395720084000},"page":"489563","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["The Hybrid Taguchi-Genetic Algorithm for Mobile Location"],"prefix":"10.1177","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7448-1877","authenticated-orcid":false,"given":"Chien-Sheng","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Information Management, Tainan University of Technology, Tainan 71002, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jium-Ming","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Communication Engineering, Chung Hua University, Hsinchu 30012, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chin-Tan","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, National Quemoy University, Kinmen 89250, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chyuan-Der","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Finance, Tainan University of Technology, Tainan 71002, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,3,24]]},"reference":[{"key":"B1-2014-489563","first-page":"861","volume-title":"Proceedings of the IEEE Vehicular Technology Conference","volume":"2","author":"Al-Jazzar S."},{"doi-asserted-by":"publisher","key":"B2-2014-489563","DOI":"10.1109\/VETECF.2000.886153"},{"volume-title":"Proceedings of the IEEE 51st Vehicular Technology Conference Proceedings (VTC '00)","author":"Jeong Y.","first-page":"1354","key":"B15-2014-489563"},{"doi-asserted-by":"publisher","key":"B3-2014-489563","DOI":"10.1109\/35.667411"},{"doi-asserted-by":"publisher","key":"B19-2014-489563","DOI":"10.1109\/WCNC.1999.797838"},{"doi-asserted-by":"publisher","key":"B20-2014-489563","DOI":"10.1109\/SURV.2009.090308"},{"doi-asserted-by":"publisher","key":"B21-2014-489563","DOI":"10.1109\/TVT.2007.891491"},{"doi-asserted-by":"publisher","key":"B22-2014-489563","DOI":"10.1109\/TVT.2008.923670"},{"doi-asserted-by":"publisher","key":"B23-2014-489563","DOI":"10.1109\/LCOMM.2009.082218"},{"doi-asserted-by":"publisher","key":"B24-2014-489563","DOI":"10.1109\/TVT.2007.899948"},{"doi-asserted-by":"publisher","key":"B25-2014-489563","DOI":"10.1109\/TMC.2007.70780"},{"doi-asserted-by":"publisher","key":"B7-2014-489563","DOI":"10.1109\/TVT.2004.832384"},{"key":"B18-2014-489563","first-page":"856","volume-title":"Proceedings of the Vehicular Technology Conference","volume":"2","author":"Venkatraman S."},{"doi-asserted-by":"publisher","key":"B26-2014-489563","DOI":"10.1109\/TWC.2002.800542"},{"doi-asserted-by":"publisher","key":"B27-2014-489563","DOI":"10.1109\/35.667410"},{"volume-title":"Adaptation in Natural and Artificial Systems","year":"1975","author":"Holland J. H.","key":"B4-2014-489563"},{"doi-asserted-by":"publisher","key":"B11-2014-489563","DOI":"10.1587\/transfun.E95.A.305"},{"volume-title":"Quality Engineering Using Robust Design","year":"1989","author":"Phadke M. S.","key":"B12-2014-489563"},{"volume-title":"Taguchi Techniques for Quality Engineering","year":"1989","author":"Ross P. J.","key":"B13-2014-489563"},{"volume-title":"Robust Engineering","year":"2000","author":"Taguchi G.","key":"B14-2014-489563"},{"volume-title":"Genetic Algorithms and Engineering Design","year":"1997","author":"Gen M.","key":"B16-2014-489563"},{"doi-asserted-by":"publisher","key":"B8-2014-489563","DOI":"10.1109\/TEVC.2004.826895"},{"doi-asserted-by":"publisher","key":"B9-2014-489563","DOI":"10.1109\/CEC.2012.6256530"},{"doi-asserted-by":"publisher","key":"B10-2014-489563","DOI":"10.1109\/TIE.2006.874280"},{"doi-asserted-by":"publisher","key":"B17-2014-489563","DOI":"10.1109\/4235.910464"},{"doi-asserted-by":"publisher","key":"B5-2014-489563","DOI":"10.1109\/TAES.1976.308294"},{"doi-asserted-by":"publisher","key":"B6-2014-489563","DOI":"10.1109\/TAES.1984.310439"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2014\/489563","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1155\/2014\/489563","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2014\/489563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,16]],"date-time":"2021-05-16T16:26:32Z","timestamp":1621182392000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1155\/2014\/489563"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,1]]},"references-count":27,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2014,3,1]]}},"alternative-id":["10.1155\/2014\/489563"],"URL":"https:\/\/doi.org\/10.1155\/2014\/489563","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2014,3,1]]}}}