{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T08:29:55Z","timestamp":1785400195537,"version":"3.56.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"24","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003052","name":"Ministry of Trade, Industry and Energy (MOTIE) and Korea Institute for Advancement of Technology (KIAT) through the International Cooperative Research and Development Program","doi-asserted-by":"publisher","award":["0011879"],"award-info":[{"award-number":["0011879"]}],"id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/jiot.2023.3293511","type":"journal-article","created":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T18:39:19Z","timestamp":1688755159000},"page":"21705-21720","source":"Crossref","is-referenced-by-count":31,"title":["PPO-Based Autonomous Transmission Period Control System in IoT Edge Computing"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1728-1967","authenticated-orcid":false,"given":"Gyeong Ho","family":"Lee","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1792-4392","authenticated-orcid":false,"given":"Hyunseo","family":"Park","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5605-1945","authenticated-orcid":false,"given":"Jae Won","family":"Jang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4410-6240","authenticated-orcid":false,"given":"Jaeseob","family":"Han","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0151-1297","authenticated-orcid":false,"given":"Jun Kyun","family":"Choi","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2828144"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2844296"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2978770"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3032997"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3103768"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2021.06.042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3045277"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3009876"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2022.101653"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/BEC.2018.8600992"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500326"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2808956"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3124673"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2020.102260"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CyberC.2015.75"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref17","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mnih"},{"key":"ref18","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.121873"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WF-IoT.2016.7845437"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2008.06.003"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/79.985679"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.02.005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/376284.375710"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1186\/1687-1499-2013-85"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/WF-IoT.2018.8355187"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS.2016.7502890"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-011-0059-x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WF-IoT.2016.7845391"},{"key":"ref30","volume-title":"Adaptive Sampling of Lion Accelerometer Data","author":"Cobb","year":"2016"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3410992.3411001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/SASO.2019.00015"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2010.89"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2015.2400932"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2013.6566924"},{"key":"ref36","volume-title":"Bollinger on Bollinger Bands","author":"Bollinger","year":"2002"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.03.033"},{"key":"ref38","article-title":"Parametrized deep Q-networks learning: Reinforcement learning with discrete-continuous hybrid action space","author":"Xiong","year":"2018","journal-title":"arXiv:1810.06394"},{"issue":"85","key":"ref39","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref40","volume-title":"Reinforcement learning: An introduction","author":"Sutton","year":"2018"},{"key":"ref41","article-title":"Slope movement types and processes","author":"Varnes","year":"1978"},{"key":"ref42","first-page":"4","article-title":"Financial stock market forecast using data mining techniques","volume-title":"Proc. Int. Multiconf. Eng. Comput. Sci.","volume":"1","author":"Kannan"},{"key":"ref43","doi-asserted-by":"crossref","DOI":"10.1016\/j.artint.2021.103535","article-title":"Reward is enough","volume":"299","author":"Silver","year":"2021","journal-title":"Artif. Intell."},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3157677"},{"key":"ref45","article-title":"High-dimensional continuous control using generalized advantage estimation","author":"Schulman","year":"2015","journal-title":"arXiv:1506.02438"},{"key":"ref46","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-92bf1922-00a"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref49","first-page":"1","article-title":"Initial progress in transfer for deep reinforcement learning algorithms","volume-title":"Proc. Deep Reinforce. Learn. Front. Challenges Workshop","author":"Du"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2018.00682"},{"key":"ref51","article-title":"Deep attention recurrent Q-network","author":"Sorokin","year":"2015","journal-title":"arXiv:1512.01693"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3011496"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2004.08.005"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10353047\/10176275.pdf?arnumber=10176275","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T02:23:20Z","timestamp":1705026200000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10176275\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":53,"journal-issue":{"issue":"24"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2023.3293511","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,15]]}}}