{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T06:00:54Z","timestamp":1762063254183,"version":"build-2065373602"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,16]]},"DOI":"10.1109\/icc45855.2022.9838364","type":"proceedings-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T19:37:11Z","timestamp":1660246631000},"page":"4836-4841","source":"Crossref","is-referenced-by-count":9,"title":["An MDP model-based initial strategy prediction method for LoRaWAN"],"prefix":"10.1109","author":[{"given":"Mi","family":"Chen","sequence":"first","affiliation":[{"name":"Univ Paris Est Creteil,LACL,Creteil,France,F-94010"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lynda","family":"Mokdad","sequence":"additional","affiliation":[{"name":"Univ Paris Est Creteil,LACL,Creteil,France,F-94010"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cedric","family":"Charmois","sequence":"additional","affiliation":[{"name":"Univ Paris Est Creteil,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jalel","family":"Ben-Othman","sequence":"additional","affiliation":[{"name":"Zayed University,Univ Paris-Saclay, CNRS, CentraleSupélec Lab. L2S Univ Sorbonne Paris Nord College of Technological Innovation,UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Michel","family":"Fourneau","sequence":"additional","affiliation":[{"name":"Univ de Versailles,Lab. DAVID"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IEMCON.2016.7746082"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2017.8108412"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/DCOSS.2019.00042"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3093421"},{"article-title":"Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning[J]","year":"2020","author":"ilahi","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LCN48667.2020.9314772"},{"journal-title":"Toward a self reconfigurable LoRaWAN network for smart city applications[J]","year":"0","author":"djoudi","key":"ref16"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1007\/978-3-319-76207-4_15","article-title":"Multi-armed bandit learning in iot networks: Learning helps even in non-stationary settings","author":"bonnefoi","year":"2018","journal-title":"Cognitive Radio Oriented Wireless Networks"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2018.8647894"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013345"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s20030648"},{"journal-title":"An In-depth look at LoRaWAN® Class A Devices","year":"2019","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ATNAC.2018.8615313"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/jsan9030042"},{"journal-title":"Understanding lora adaptive data rate","year":"2019","key":"ref8"},{"key":"ref7","article-title":"Domain-independent optimistic initialization for reinforcement learning[C]","author":"machado","year":"2015","journal-title":"Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2988287.2989163"},{"key":"ref9","article-title":"Poster: A Fair AdaptiveData Rate Algorithm for LoRaWAN","author":"abdelfadeel","year":"2018","journal-title":"Int Conf on Embedded Wireless Syst and Networks ser EWSN ’16"},{"year":"2020","key":"ref1","article-title":"TS001-1.0.4 LoRaWAN L2 1.0.4 Specification"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685783"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s19214723"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-020-02307-1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2953804"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2016.2647247"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IoTGC.2017.8008973"}],"event":{"name":"ICC 2022 - IEEE International Conference on Communications","start":{"date-parts":[[2022,5,16]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2022,5,20]]}},"container-title":["ICC 2022 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9837954\/9838246\/09838364.pdf?arnumber=9838364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T20:03:39Z","timestamp":1663013019000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9838364\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,16]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icc45855.2022.9838364","relation":{},"subject":[],"published":{"date-parts":[[2022,5,16]]}}}