{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:35:20Z","timestamp":1740148520582,"version":"3.37.3"},"reference-count":17,"publisher":"Wiley","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61305113","F2012203199","2011YB-006"],"award-info":[{"award-number":["61305113","F2012203199","2011YB-006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["61305113","F2012203199","2011YB-006"],"award-info":[{"award-number":["61305113","F2012203199","2011YB-006"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Doctor Fund of Hebei Normal University of Science and Technology","award":["61305113","F2012203199","2011YB-006"],"award-info":[{"award-number":["61305113","F2012203199","2011YB-006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>The existing coverage hole boundary detection methods cannot detect large-scale coverage hole boundary in wireless sensor network quickly and efficiently. Aiming at this problem, a boundary detection method for large-scale coverage holes in wireless sensor network based on minimum critical threshold constraint is proposed. Firstly, the optimization problem of minimum critical threshold is highlighted, and its formulaic description is constructed according to probabilistic sensing model. On the basis of this, the distributed gradient information is used to approximately solve the optimization problem. After that, local-scale rough boundary detection algorithm incorporating the minimum critical threshold and its iterative thinning algorithm are proposed according to blocking flow theory. The experimental results show that the proposed method has low computational complexity and network overhead when detecting large-scale coverage hole boundary in wireless sensor network.<\/jats:p>","DOI":"10.1155\/2014\/985854","type":"journal-article","created":{"date-parts":[[2014,12,1]],"date-time":"2014-12-01T16:28:26Z","timestamp":1417451306000},"page":"1-13","source":"Crossref","is-referenced-by-count":5,"title":["Boundary Detection Method for Large-Scale Coverage Holes in Wireless Sensor Network Based on Minimum Critical Threshold Constraint"],"prefix":"10.1155","volume":"2014","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5829-959X","authenticated-orcid":true,"given":"Rong","family":"Jing","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Yanshan University, Hebei 066004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingfu","family":"Kong","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yanshan University, Hebei 066004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Kong","sequence":"additional","affiliation":[{"name":"School of Mathematics and Information Technology, Hebei Normal University of Science and Technology, Hebei 066004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"doi-asserted-by":"publisher","key":"1","DOI":"10.1016\/S1389-1286(01)00302-4"},{"year":"2004","key":"2"},{"doi-asserted-by":"publisher","key":"3","DOI":"10.1016\/j.jnca.2011.11.016"},{"doi-asserted-by":"publisher","key":"4","DOI":"10.1109\/TSMCC.2012.2196996"},{"issue":"4","key":"5","doi-asserted-by":"crossref","first-page":"2446","DOI":"10.3390\/s90402446","volume":"9","year":"2009","journal-title":"Sensors"},{"doi-asserted-by":"publisher","key":"6","DOI":"10.1109\/TAC.2012.2225511"},{"doi-asserted-by":"publisher","key":"8","DOI":"10.1007\/s11036-006-4471-y"},{"doi-asserted-by":"publisher","key":"10","DOI":"10.1016\/j.comcom.2007.05.017"},{"doi-asserted-by":"publisher","key":"12","DOI":"10.1007\/s11276-007-0021-1"},{"doi-asserted-by":"publisher","key":"14","DOI":"10.1016\/j.jnca.2011.06.007"},{"doi-asserted-by":"publisher","key":"16","DOI":"10.1109\/TMC.2011.85"},{"doi-asserted-by":"publisher","key":"17","DOI":"10.1049\/iet-wss.2012.0076"},{"doi-asserted-by":"publisher","key":"18","DOI":"10.1109\/TSP.2014.2314063"},{"doi-asserted-by":"publisher","key":"19","DOI":"10.1109\/LCOMM.2010.080210.100770"},{"year":"2010","key":"20"},{"year":"2009","key":"21"},{"year":"1999","key":"22"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2014\/985854.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2014\/985854.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2014\/985854.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T21:16:15Z","timestamp":1498166175000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/js\/2014\/985854\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":17,"alternative-id":["985854","985854"],"URL":"https:\/\/doi.org\/10.1155\/2014\/985854","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2014]]}}}