{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T13:17:46Z","timestamp":1755695866340},"reference-count":23,"publisher":"Tsinghua University Press","issue":"3","license":[{"start":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T00:00:00Z","timestamp":1622678400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJCS"],"published-print":{"date-parts":[[2021,11,22]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The rapid development of 5G technology brings the expansion of the internet of things (IoT). A large number of devices in the IoT work independently, leading to difficulties in management. This study aims to optimize the member structure of the IoT so the members in it can work more efficiently.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>In this paper, the authors consider from the perspective of crowd science, combining genetic algorithms and crowd intelligence together to optimize the total intelligence of the IoT. Computing, caching and communication capacity are used as the basis of the intelligence according to the related work, and the device correlation and distance factors are used to measure the improvement level of the intelligence. Finally, they use genetic algorithm to select a collaborative state for the IoT devices.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Experimental results demonstrate that the intelligence optimization method in this paper can improve the IoT intelligence level up to ten times than original level.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This paper is the first study that solves the problem of device collaboration in the IoT scenario based on the scientific background of crowd intelligence. The intelligence optimization method works well in the IoT scenario, and it also has potential in other scenarios of crowd network.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ijcs-03-2021-0007","type":"journal-article","created":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T20:48:46Z","timestamp":1622580526000},"page":"218-227","source":"Crossref","is-referenced-by-count":5,"title":["An intelligence optimization method based on crowd intelligence for IoT devices"],"prefix":"10.26599","volume":"5","author":[{"given":"Ke","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheming","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-019-09485-z"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1700202"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1108\/IJCS-05-2019-0014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1108\/IJCS-04-2018-0007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3265689.3265709"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s17030484"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/info10060191"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3132479.3132490"},{"key":"ref18","first-page":"34","article-title":"Cross-technology communications for heterogeneous IoT devices through artificial doppler shifts","volume":"28","author":"wang","year":"2018","journal-title":"IEEE Transactions on Wireless Communications"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1108\/IJCS-09-2019-0020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IMIS.2012.25"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2019.2918162"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2013.01.010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.03.056"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900349"},{"key":"ref7","first-page":"828","article-title":"Uniform design of initial population and operational parameters of geneticalgorithm","volume":"26","author":"he","year":"2005","journal-title":"Journal of Northeastern University (Natural Science)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-com.2018.6069"},{"key":"ref1","first-page":"237","article-title":"Analysis about NB-IoT low-rate narrowband IoT communication technology status and development trend","author":"cai","year":"2017","journal-title":"Information and Communication"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WF-IoT.2018.8355169"},{"key":"ref20","first-page":"75","article-title":"Characteristics of massive MIMO technology and applications in 5G scenario","volume":"20","author":"xu","year":"2018","journal-title":"China New Telecommunications"},{"key":"ref22","first-page":"114","article-title":"V2X offloading and resource allocation under SDN and MEC architecture","volume":"41","author":"zhang","year":"2020","journal-title":"Journal on Communications"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1108\/IJCS-03-2020-0008"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1108\/IJCS-01-2017-0004"}],"container-title":["International Journal of Crowd Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-03-2021-0007\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-03-2021-0007\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T16:58:40Z","timestamp":1660841920000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-03-2021-0007\/full\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,3]]},"references-count":23,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,6,3]]},"published-print":{"date-parts":[[2021,11,22]]}},"alternative-id":["10.1108\/IJCS-03-2021-0007"],"URL":"https:\/\/doi.org\/10.1108\/ijcs-03-2021-0007","relation":{},"ISSN":["2398-7294","2398-7294"],"issn-type":[{"value":"2398-7294","type":"print"},{"value":"2398-7294","type":"print"}],"subject":[],"published":{"date-parts":[[2021,6,3]]}}}