{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T15:08:03Z","timestamp":1753888083920,"version":"3.41.2"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,6,16]],"date-time":"2021-06-16T00:00:00Z","timestamp":1623801600000},"content-version":"vor","delay-in-days":166,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004317","name":"Shihezi University","doi-asserted-by":"publisher","award":["ZZZC201915B","RCZK2018C38"],"award-info":[{"award-number":["ZZZC201915B","RCZK2018C38"]}],"id":[{"id":"10.13039\/501100004317","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["220531"],"award-info":[{"award-number":["220531"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>The industry wireless sensor network (IWSN) technology, which is used to monitor industrial equipment, has attracted more and more attention in recent years. Sensor nodes in IWSN can spontaneously complete distributed networking and carry out monitoring tasks under random deployment conditions. Therefore, a self\u2010organized IWSN is particularly suitable for the fault detection and diagnosis of industrial equipment in complex environments. However, due to the detection, ability of a single sensor node is limited, and the monitoring distribution problem is a typical multidimensional discrete NP\u2010hard combinatorial stochastic optimization problem, which is challenging to solve for the traditional mathematical methods. With the purpose of improving the target monitoring capability and prolonging lifetime of IWSN, a novel hybrid niche immune genetic algorithm (HNIGA) for optimizing the target coverage model of fault detection is proposed. It uses the genetic operation to evolve antibody groups and applies niche technology to maintain the diversity of antibody groups. As a result, HNIGA can effectively reduce the failure rate of detection targets. To verify the performance of HNIGA, a series of simulations under different simulation conditions are carried out. Specifically, HNIGA is compared with genetic algorithm (GA) and simulated annealing (SA). Simulation results show that HNIGA has a faster convergence speed and more robust global search capability than the other two algorithms.<\/jats:p>","DOI":"10.1155\/2021\/9986430","type":"journal-article","created":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T00:20:08Z","timestamp":1623889208000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Hybrid Niche Immune Genetic Algorithm for Fault Detection Coverage in Industry Wireless Sensor Network"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2406-3981","authenticated-orcid":false,"given":"Jie","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4245-1611","authenticated-orcid":false,"given":"Hu","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0759-2948","authenticated-orcid":false,"given":"Yang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6720-9445","authenticated-orcid":false,"given":"Chaoqun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1862-6709","authenticated-orcid":false,"given":"Mengying","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,6,16]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.107960"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8820907"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107284"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9645817"},{"key":"e_1_2_11_5_2","first-page":"769","article-title":"Priority-based channel scheduling and route discovery for IWSN applications","volume":"35","author":"Gnanasekar V.","year":"2019","journal-title":"Journal of Information Science and Engineering"},{"key":"e_1_2_11_6_2","article-title":"A hierarchical routing graph for supporting mobile devices in industrial wireless sensor networks","volume":"21","author":"Kim S.","year":"2021","journal-title":"Sensors"},{"key":"e_1_2_11_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2975289"},{"key":"e_1_2_11_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2020.2993337"},{"key":"e_1_2_11_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2020.102753"},{"key":"e_1_2_11_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/dac.4692"},{"key":"e_1_2_11_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2948061"},{"key":"e_1_2_11_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/2811587.2811625"},{"key":"e_1_2_11_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107236"},{"key":"e_1_2_11_14_2","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9040675"},{"key":"e_1_2_11_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2018.2794583"},{"key":"e_1_2_11_16_2","first-page":"1317","article-title":"A coverage monitoring algorithm based on learning automata for wireless sensor networks","volume":"9","author":"Mostafaei H.","year":"2015","journal-title":"Applied Mathematics & Information Sciences"},{"key":"e_1_2_11_17_2","article-title":"Power transformer fault diagnosis system based on Internet of Things","volume":"2021","author":"Wang G. S.","year":"2021","journal-title":"Eurasip Journal on Wireless Communications and Networking"},{"key":"e_1_2_11_18_2","doi-asserted-by":"publisher","DOI":"10.1520\/SSMS20190038"},{"key":"e_1_2_11_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2980682"},{"key":"e_1_2_11_20_2","doi-asserted-by":"publisher","DOI":"10.1002\/dac.4679"},{"key":"e_1_2_11_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-019-06741-z"},{"key":"e_1_2_11_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-020-00945-y"},{"key":"e_1_2_11_23_2","doi-asserted-by":"crossref","unstructured":"XiangT. L. WangH. J. andShiY. C. Hybrid WSN node deployment optimization strategy based on CS algorithm 2019 IEEE 3rd Information Technology Networking Electronic and Automation Control Conference (ITNEC) 2019 New York.","DOI":"10.1109\/ITNEC.2019.8729481"},{"key":"e_1_2_11_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-018-1792-2"},{"key":"e_1_2_11_25_2","article-title":"Metaheuristic-based optimal 3D positioning of UAVs forming aerial mesh network to provide emergency communication services","volume":"2021","author":"Gupta M.","year":"2021","journal-title":"IET Communications"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2021\/9986430.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2021\/9986430.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/9986430","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T00:13:10Z","timestamp":1722903190000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/9986430"}},"subtitle":[],"editor":[{"given":"Hyung-Sup","family":"Jung","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/9986430"],"URL":"https:\/\/doi.org\/10.1155\/2021\/9986430","archive":["Portico"],"relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-03-20","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-05-29","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-16","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"9986430"}}