{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T14:32:49Z","timestamp":1775485969549,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20190733"],"award-info":[{"award-number":["BK20190733"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NUPTSF","award":["NY219166"],"award-info":[{"award-number":["NY219166"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872423"],"award-info":[{"award-number":["61872423"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["2018-03792"],"award-info":[{"award-number":["2018-03792"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"InnovateNL SensorTECH","award":["5404-2061-101"],"award-info":[{"award-number":["5404-2061-101"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1109\/tvt.2021.3055065","type":"journal-article","created":{"date-parts":[[2021,1,27]],"date-time":"2021-01-27T20:53:42Z","timestamp":1611780822000},"page":"1851-1865","source":"Crossref","is-referenced-by-count":32,"title":["An Adaptive Asynchronous Wake-Up Scheme for Underwater Acoustic Sensor Networks Using Deep Reinforcement Learning"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7979-113X","authenticated-orcid":false,"given":"Ruoyu","family":"Su","sequence":"first","affiliation":[{"name":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8300-6672","authenticated-orcid":false,"given":"Zijun","family":"Gong","sequence":"additional","affiliation":[{"name":"Department of Electrical, and Computer Engineering, Memorial University, St. John's, NL, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6080-6151","authenticated-orcid":false,"given":"Dengyin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3424-2414","authenticated-orcid":false,"given":"Cheng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electrical, and Computer Engineering, Memorial University, St. John's, NL, Canada"}]},{"given":"Yuanzhu","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Memorial University, St. John's, NL, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0337-5532","authenticated-orcid":false,"given":"Ramachandran","family":"Venkatesan","sequence":"additional","affiliation":[{"name":"Department of Electrical, and Computer Engineering, Memorial University, St. John's, NL, Canada"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2962915"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2019.2910938"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2990733"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2669996"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2018.2801725"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2015.2478717"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2941771"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2010.111910.091238"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2989924"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1109\/TMC.2010.28","article-title":"QELAR: A. machine-learning-based adaptive routing protocol for energy-efficient and lifetime-extended underwater sensor networks","volume":"9","author":"hu","year":"2010","journal-title":"IEEE Trans Mobile Comput"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933968"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2015.2416348"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2016.2612644"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1800381"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/wcm.2589"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2728092"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.040412.00075"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2993012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2006.134"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2982417"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2932988"},{"key":"ref28","author":"stinson","year":"2004","journal-title":"Combinatorial Designs Constructions and Analysis"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2793964"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2010.229"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2963296"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.3003743"},{"key":"ref29","first-page":"100","article-title":"Two new quorum based algorithms for distributed mutual exclusion","author":"luk","year":"0","journal-title":"Proc 17th Int Conf Distrib Comput Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2799699"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2008.ECP.15"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2726939"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1700280"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/23335777.2016.1145742"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2018.2883872"},{"key":"ref20","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref45","first-page":"237","author":"kolen","year":"2001","journal-title":"A Field Guide to Dynamical Recurrent Networks"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref21","author":"bertsekas","year":"1995","journal-title":"Dynamic Programming and Optimal Control"},{"key":"ref42","first-page":"227","article-title":"Coordinated reinforcement febuarlearning","author":"guestrin","year":"0","journal-title":"Proc 19th Int Conf Mach Learn"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2928589"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2919611"},{"key":"ref23","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"0","journal-title":"Proc 26th Int Conf Neural Inf Process Syst Deep Learn Workshop"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2006.55"},{"key":"ref43","first-page":"764","article-title":"Coordinated multi-agent reinforcement learning in networked distributed","author":"zhang","year":"0","journal-title":"Proc 25th AAAI Conf Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2007.899277"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/9374720\/09337228.pdf?arnumber=9337228","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T19:46:58Z","timestamp":1736884018000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9337228\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":45,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2021.3055065","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2]]}}}