{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T20:22:38Z","timestamp":1791836558637,"version":"4.3.4"},"reference-count":23,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2020,9,1]]},"abstract":"<jats:p>Wireless sensor network (WSN) is a self-organizing network which is composed of a large number of cheap microsensor nodes deployed in the monitoring area and formed by wireless communication. Since it has the characteristics of rapid deployment and strong resistance to destruction, the WSN positioning technology has a wide application prospect. In WSN positioning, the nonline of sight (NLOS) is a very common phenomenon affecting accuracy. In this paper, we propose a NLOS correction method algorithm base on the time of arrival (TOA) to solve the NLOS problem. We firstly propose a tendency amendment algorithm in order to correct the NLOS error in geometry. Secondly, this paper propose a particle selection strategy to select the standard deviation of the particle swarm as the basis of evolution and combine the genetic evolution algorithm, the particle filter algorithm, and the unscented Kalman filter (UKF) algorithm. At the same time, we apply orthogon theory to the UKF to make it have the ability to deal with the target trajectory mutation. Finally we use maximum likelihood localization (ML) to determine the position of the mobile node (MN). The simulation and experimental results show that the proposed algorithm can perform better than the extend Kalman filter (EKF), Kalman filter (KF), and robust interactive multiple model (RIMM).<\/jats:p>","DOI":"10.1155\/2020\/8854389","type":"journal-article","created":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T19:34:12Z","timestamp":1598988852000},"page":"1-16","source":"Crossref","is-referenced-by-count":7,"title":["A Robust Indoor Mobile Localization Algorithm for Wireless Sensor Network in Mixed LOS\/NLOS Environments"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9019-4763","authenticated-orcid":true,"given":"Ou","family":"Yong Kang","sequence":"first","affiliation":[{"name":"Department of Computer and Communication Engineering, Northeastern University, Qinhuangdao, 066004 Hebei Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Long","sequence":"additional","affiliation":[{"name":"Department of Computer and Communication Engineering, Northeastern University, Qinhuangdao, 066004 Hebei Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2011.110811.101739"},{"key":"3","year":"2016"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7060232"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2018.02.003"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.3390\/s19051215"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2870659"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2805717"},{"key":"9","first-page":"4149","volume":"11","year":"2019","journal-title":"IEEE Sensors Journal"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2019.2909195"},{"key":"11","first-page":"602","volume":"3","year":"2019","journal-title":"IEEE Transactions on Mobile Computing"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.04.006"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.01.004"},{"key":"14","first-page":"212","volume":"2","year":"2019","journal-title":"IEEE Signal Processing Letters"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1049\/iet-com.2018.5097"},{"key":"16","first-page":"238","volume":"143","year":"2017","journal-title":"Signal Processing"},{"key":"17","first-page":"54097","volume":"6","year":"2018","journal-title":"IEEE Multidisciplinary"},{"key":"18","first-page":"64","volume":"1","year":"2019","journal-title":"IEEE Signal Processing Letters"},{"key":"19","first-page":"3733","volume":"10","year":"2019","journal-title":"IEEE Sensors Journal"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2785338"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2008.928649"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2138702"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909974"},{"key":"24","volume":"2","year":"2009","journal-title":"Modern Electronics Technique"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2020\/8854389.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2020\/8854389.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2020\/8854389.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T19:34:26Z","timestamp":1598988866000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2020\/8854389\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,1]]},"references-count":23,"alternative-id":["8854389","8854389"],"URL":"https:\/\/doi.org\/10.1155\/2020\/8854389","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"value":"1687-725X","type":"print"},{"value":"1687-7268","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,1]]}}}