{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T17:16:16Z","timestamp":1772644576935,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271413"],"award-info":[{"award-number":["62271413"]}],"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":["62201504"],"award-info":[{"award-number":["62201504"]}],"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":["62271513"],"award-info":[{"award-number":["62271513"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research Fund"},{"name":"Shaanxi Province Innovation Capability Support Program","award":["2023KJXX-010"],"award-info":[{"award-number":["2023KJXX-010"]}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2021A1515012631"],"award-info":[{"award-number":["2021A1515012631"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LGJ22F010001"],"award-info":[{"award-number":["LGJ22F010001"]}]},{"name":"Zhejiang-Singapore Innovation and AI Joint Research Lab"},{"name":"National Research Foundation, Singapore and Infocomm Media Development Authority"},{"name":"Future Communications Research & Development Programme"},{"name":"DSO National Laboratories"},{"name":"AI Singapore Programme","award":["AISG2-RP-2020-019"],"award-info":[{"award-number":["AISG2-RP-2020-019"]}]},{"name":"MOE Tier 1","award":["RG87\/22"],"award-info":[{"award-number":["RG87\/22"]}]},{"name":"MOE ARF Tier 2","award":["T2EP20120-0006"],"award-info":[{"award-number":["T2EP20120-0006"]}]},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e5det","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["ETHER"],"award-info":[{"award-number":["ETHER"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["101096526"],"award-info":[{"award-number":["101096526"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tmc.2023.3329170","type":"journal-article","created":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T18:33:09Z","timestamp":1698863589000},"page":"6848-6864","source":"Crossref","is-referenced-by-count":19,"title":["Optimal Status Updates for Minimizing Age of Correlated Information in IoT Networks With Energy Harvesting Sensors"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2793-0350","authenticated-orcid":false,"given":"Chao","family":"Xu","sequence":"first","affiliation":[{"name":"School of Information Engineering, Northwest A&F University, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0499-7440","authenticated-orcid":false,"given":"Xinyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Northwest A&F University, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0256-2416","authenticated-orcid":false,"given":"Howard H.","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang University\/University of Illinois at Urbana-Champaign Institute, Zhejiang University, Haining, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3504-9763","authenticated-orcid":false,"given":"Xijun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4416-7702","authenticated-orcid":false,"given":"Nikolaos","family":"Pappas","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, Linköping University, Linköping, Sweden"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7442-7416","authenticated-orcid":false,"given":"Dusit","family":"Niyato","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4037-3149","authenticated-orcid":false,"given":"Tony Q. S.","family":"Quek","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design, Singapore"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP49889.2020.9299882"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2444095"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1600435CM"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2844296"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2012.6195689"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1017\/9781108943321"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3065072"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900041"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3040027"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2006.10.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2065210"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2019.2936759"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10458-012-9200-2"},{"key":"ref14","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Haarnoja"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50042-8"},{"key":"ref17","first-page":"2944","article-title":"Learning continuous control policies by stochastic value gradients","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Heess"},{"key":"ref18","first-page":"1","article-title":"Deep recurrent Q-learning for partially observable MDPs","volume-title":"Proc. AAAI Fall Symp. Ser.","author":"Hausknecht"},{"key":"ref19","first-page":"1","article-title":"Memory-based control with recurrent neural networks","volume-title":"Proc. NIPS DRL Workshop","author":"Heess"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2019.2918736"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2931538"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.2996237"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2947419"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3093352"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2019.2938969"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps45667.2019.9024463"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2990715"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3029018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2022.3208873"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3106013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2996562"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/globecom42002.2020.9322193"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3212794"},{"key":"ref34","article-title":"On improving deep reinforcement learning for POMDPs","author":"Zhu","year":"2018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2938509"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2959774"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2810269"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2740929"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2802918"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.23919\/WiOpt56218.2022.9930549"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3077948"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3091493"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3092413"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155524"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3205938"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2843365"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2963371"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2994367"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3058236"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2567"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1287\/opre.21.5.1071"},{"key":"ref52","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Fujimoto"},{"key":"ref53","first-page":"1","article-title":"Continuous control with deep reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lillicrap"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2014-80"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.521"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2016.2611858"},{"key":"ref57","first-page":"6382","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Lowe"},{"key":"ref58","first-page":"1","article-title":"Distributed prioritized experience replay","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Horgan"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11796"},{"key":"ref60","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2022.3190205"},{"key":"ref62","article-title":"NVIDIA Jetson AGX Orin series: A giant leap forward for robotics and edge ai applications","author":"Karumbunathan","year":"2022"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/584091.584093"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7755\/10521901\/10304326.pdf?arnumber=10304326","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T18:05:12Z","timestamp":1725905112000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10304326\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":63,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2023.3329170","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}