{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T11:12:48Z","timestamp":1767093168667},"reference-count":0,"publisher":"National Library of Serbia","issue":"4","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>The positioning error of distributed MDS-MAP algorithms comes from two\n   aspects: the local positioning error and the position fusion error. In an\n   attempt to improve the positioning result in both local positioning accuracy\n   and global convergence probability, this paper proposes a novel MDS-MAP(LF)\n   algorithm, which uses low frequency signal to measure the inter-sensor\n   distance rather than shortest path algorithms. The proposed MDS-MAP(LF)\n   algorithm leverages the propagation feature of low frequency signal to\n   acquire a more precisely two-hop distance. The simulation and analysis\n   results indicate that the accuracy of local positioning is improved by more\n   than 3%. With the use of cluster expansion, MDS-MAP(LF) also shows a better\n   convergence with comparison to the former classical distributed MDS-MAP\n   algorithm.<\/jats:p>","DOI":"10.2298\/csis140801055z","type":"journal-article","created":{"date-parts":[[2015,11,2]],"date-time":"2015-11-02T16:39:25Z","timestamp":1446482365000},"page":"1289-1305","source":"Crossref","is-referenced-by-count":5,"title":["Distributed locating algorithm MDS-MAP (LF) based on low-frequency signal"],"prefix":"10.2298","volume":"12","author":[{"given":"Chunyue","family":"Zhou","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University, Key Laboratory of Communication & Information System, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Xu","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, School of Electronics and Information Engineering, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hairong","family":"Dong","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:32:39Z","timestamp":1685349159000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141500055Z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015]]}},"URL":"https:\/\/doi.org\/10.2298\/csis140801055z","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}