{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T16:23:06Z","timestamp":1778170986217,"version":"3.51.4"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFB1801104"],"award-info":[{"award-number":["2018YFB1801104"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771427"],"award-info":[{"award-number":["61771427"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61725104"],"award-info":[{"award-number":["61725104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1709214"],"award-info":[{"award-number":["U1709214"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"SUTD-ZJU Research Collaboration","award":["SUTD-ZJU\/RES\/05\/2016"],"award-info":[{"award-number":["SUTD-ZJU\/RES\/05\/2016"]}]},{"name":"SUTD Growth Plan Grant for AI"},{"name":"Ng Teng Fong Charitable Foundation in the form of ZJU-SUTD IDEA Grant"},{"name":"SUTD-ZJU IDEA Grant for Visiting Professor","award":["201804"],"award-info":[{"award-number":["201804"]}]},{"DOI":"10.13039\/501100003816","name":"Huawei Technologies Company Ltd.","doi-asserted-by":"publisher","award":["YBN2018115223"],"award-info":[{"award-number":["YBN2018115223"]}],"id":[{"id":"10.13039\/501100003816","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/jiot.2020.2968941","type":"journal-article","created":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T21:42:03Z","timestamp":1579815723000},"page":"4746-4760","source":"Crossref","is-referenced-by-count":43,"title":["Video Surveillance on Mobile Edge Networks\u2014A Reinforcement-Learning-Based Approach"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6048-6549","authenticated-orcid":false,"given":"Haoji","family":"Hu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6264-9858","authenticated-orcid":false,"given":"Hangguan","family":"Shan","sequence":"additional","affiliation":[]},{"given":"Chuankun","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Tengxu","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Xiaojian","family":"Zhen","sequence":"additional","affiliation":[]},{"given":"Kunpeng","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2903-9913","authenticated-orcid":false,"given":"Lu","family":"Yu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2346-6228","authenticated-orcid":false,"given":"Zhaoyang","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4037-3149","authenticated-orcid":false,"given":"Tony Q. S.","family":"Quek","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098184"},{"key":"ref38","first-page":"127","article-title":"Thompson sampling for contextual bandits with linear payoffs","author":"agrawal","year":"2013","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1998.712192"},{"key":"ref32","author":"trevor","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2118750"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-6050-4"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2012.2235473"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref34","first-page":"877","article-title":"Evolutionary function approximation for reinforcement learning","volume":"7","author":"whiteson","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2764330"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2016.2517653"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2687918"},{"key":"ref13","author":"caputo","year":"2010","journal-title":"Video Surveillance C -Digital Security"},{"key":"ref14","article-title":"Cisco visual networking index: Forecast and trends, 2017&#x2013;2022","year":"2018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2750180"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1991.139758"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/12.210173"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.244"},{"key":"ref19","first-page":"1","article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","author":"huang","year":"2008","journal-title":"Proc Workshop Real Life Images Detect Alignment Recognit"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC.2018.8319243"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2745102"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2015.2487344"},{"key":"ref3","author":"hu","year":"2015","journal-title":"Mobile edge computing A key technology towards 5G"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298907"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3054977.3054986"},{"key":"ref5","author":"young","year":"2015","journal-title":"Mobile-Edge Computing (MEC) Service Scenarios"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref7","first-page":"499","article-title":"A discriminative feature learning approach for deep face recognition","author":"wen","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2017.3641638"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS.2018.8689194"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.244"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97909-0_46"},{"key":"ref41","first-page":"4759","article-title":"Deep reinforcement learning in a handful of trials using probabilistic dynamics models","author":"chua","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","first-page":"507","article-title":"Large-margin softmax loss for convolutional neural networks","author":"liu","year":"2016","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2016.2633522"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2013.072513.121842"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/9115800\/08966998.pdf?arnumber=8966998","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:26:06Z","timestamp":1651080366000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8966998\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":41,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2020.2968941","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}