Joint lifetime-outage optimization in relay-enabled IoT networks—A deep reinforcement learning approach
dc.contributor.author | Heidarpour, A. R. | |
dc.contributor.author | Heidarpour, M. R. | |
dc.contributor.author | Ardakani, M. | |
dc.contributor.author | Tellambura, C. | |
dc.contributor.author | Uysal, Murat | |
dc.date.accessioned | 2023-11-01T06:07:39Z | |
dc.date.available | 2023-11-01T06:07:39Z | |
dc.date.issued | 2023-01 | |
dc.identifier.issn | 1089-7798 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/8908 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9916580 | |
dc.description.abstract | Network lifetime maximization in Internet of things (IoT) is of paramount importance to ensure uninterrupted data transmission and reduce the frequency of battery replacement. This letter deals with the joint lifetime-outage optimization in relay-enabled IoT networks employing a multiple relay selection (MRS) scheme. The considered MRS problem is essentially a general nonlinear 0-1 programming which is NP-hard. In this work, we use the application of the double deep Q network (DDQN) algorithm to solve the MRS problem. Our results reveal that the proposed DDQN-MRS scheme can achieve superior performance than the benchmark MRS schemes. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | IEEE Communications Letters | |
dc.rights | restrictedAccess | |
dc.title | Joint lifetime-outage optimization in relay-enabled IoT networks—A deep reinforcement learning approach | en_US |
dc.type | Article | en_US |
dc.peerreviewed | yes | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0001-5945-0813 & YÖK ID 124615) Uysal, Murat | |
dc.contributor.ozuauthor | Uysal, Murat | |
dc.identifier.volume | 27 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.startpage | 190 | en_US |
dc.identifier.endpage | 194 | en_US |
dc.identifier.wos | WOS:000965873100001 | |
dc.identifier.doi | 10.1109/LCOMM.2022.3214146 | en_US |
dc.subject.keywords | Cooperative communication | en_US |
dc.subject.keywords | Deep reinforcement learning | en_US |
dc.subject.keywords | Internet of Things | en_US |
dc.subject.keywords | Lifetime | en_US |
dc.subject.keywords | Multiple relay selection | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85139817887 | |
dc.relation.publicationcategory | Article - International Refereed Journal - Institutional Academic Staff |
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