{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T09:11:29Z","timestamp":1685351489311},"reference-count":0,"publisher":"National Library of Serbia","issue":"4","license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"abstract":"<jats:p>Body Sensor Networks (BSN) are an emerging application that places sensors on\n   the human body. Given that a BSN is typically powered by a battery, one of\n   the most critical challenges is how to prolong the lifetime of all sensor\n   nodes. Recently, using clusters to reduce the energy consumption of BSN has\n   shown promising results. One of the important parameters in these\n   cluster-based algorithms is the selection of cluster heads (CHs). Most prior\n   works selected CHs either probabilistically or based on nodes? residual\n   energy. In this work, we first discuss the efficiency of cluster-based\n   approaches for saving energy. We then propose a novel cluster head selection\n   algorithm to maximize the lifetime of a BSN for motion detection. Our results\n   show that we can achieve above 90% accuracy for the motion detection, while\n   keeping energy consumption as low as possible.<\/jats:p>","DOI":"10.2298\/csis110310053l","type":"journal-article","created":{"date-parts":[[2011,10,13]],"date-time":"2011-10-13T06:59:22Z","timestamp":1318489162000},"page":"1051-1071","source":"Crossref","is-referenced-by-count":0,"title":["On the efficiency of cluster-based approaches for motion detection using body sensor networks"],"prefix":"10.2298","volume":"8","author":[{"given":"Kun-Chan","family":"Lan","sequence":"first","affiliation":[{"name":"Computer Science and Information Engineering National Cheng Kung University, Tainan City, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chien-Ming","family":"Chou","sequence":"additional","affiliation":[{"name":"Computer Science and Information Engineering National Cheng Kung University, Tainan City, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tzu-Nung","family":"Wang","sequence":"additional","affiliation":[{"name":"Computer Science and Information Engineering National Cheng Kung University, Tainan City, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mei-Wen","family":"Li","sequence":"additional","affiliation":[{"name":"Computer Science and Information Engineering National Cheng Kung University, Tainan City, Taiwan"}],"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":"2023-05-29T08:30:26Z","timestamp":1685349026000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141100053L"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2011]]}},"URL":"https:\/\/doi.org\/10.2298\/csis110310053l","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011]]}}}