{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:40:21Z","timestamp":1777704021916,"version":"3.51.4"},"reference-count":29,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T00:00:00Z","timestamp":1573171200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,2,6]]},"abstract":"<jats:p>\u00a0In emergency, it is very important to make a real-time and precise positioning of emergency address. As a large amount of emergencies take place in mountainous region, river valley and high building, original node location based on plane does not apply any more, thus, in order to improve precision of early warning and location of disaster, we have proposed a 3D-DVHop localization algorithm, and compare it with the typical 3-D location algorithm APIS. Through the simulation experiment, the localization error of the improved 3D-DVHop algorithm is far less than that of APIS algorithm, which improves the localization accuracy greatly under unexpected circumstances and laying a solid foundation for the following decision-making and rescuing work.<\/jats:p>","DOI":"10.3233\/jifs-179494","type":"journal-article","created":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T13:26:26Z","timestamp":1573219586000},"page":"1311-1318","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Research on node localization based on 3D wireless sensor network"],"prefix":"10.1177","volume":"38","author":[{"given":"Musong","family":"Gu","sequence":"first","affiliation":[{"name":"College of Information Science and Technology, Chengdu University, Shiling town longquan district Chengdu, Sichuan, China"},{"name":"School of Information and Communication Engineering, University of 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