DQN-Based Directional MAC Protocol in Wireless Ad Hoc Network in Internet of Things
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Namkyu | - |
dc.contributor.author | Na, Woongsoo | - |
dc.contributor.author | Lakew, Demeke Shumeye | - |
dc.contributor.author | Dao, Nhu-Ngoc | - |
dc.contributor.author | Cho, Sungrae | - |
dc.date.accessioned | 2024-01-24T06:00:33Z | - |
dc.date.available | 2024-01-24T06:00:33Z | - |
dc.date.issued | 2024-04 | - |
dc.identifier.issn | 2327-4662 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/71360 | - |
dc.description.abstract | The use of directional antennas in high frequency bands (e.g., millimeter-wave) is essential to support applications requiring high throughput and low latency. However, communications using directional antennas require intricate scheduling by a central coordinator to avoid collision and deafness problems. Thus, in this study, we propose a directional medium access control (DMAC) protocol based on a deep Q-network (DQN) framework wireless ad hoc networks (WANETs) for Internet of Things (IoT). In our model, even though there is no central coordinating unit (e.g., edge/cloud server), each IoT device can intelligently avoid the collision and deafness through its learning agent. In addition, to maximize the throughput, we design a reinforcement learning (RL) architecture and propose a DQN-based DMAC such that each IoT device intelligently selects the time-slot and transmitting beam without any central coordinator. The proposed schemes are evaluated using carrier-sense multiple access (CSMA) and adaptive learning-based DMAC(AL-DMAC) protocols. The evaluation results reveal that the proposed double DQN scheme outperforms the existing schemes by approximately 54.1% and 57.2% in terms of the throughput. IEEE | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | DQN-Based Directional MAC Protocol in Wireless Ad Hoc Network in Internet of Things | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/JIOT.2023.3338562 | - |
dc.identifier.bibliographicCitation | IEEE Internet of Things Journal, v.11, no.7, pp 12918 - 12928 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 001196534500133 | - |
dc.identifier.scopusid | 2-s2.0-85179810517 | - |
dc.citation.endPage | 12928 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 12918 | - |
dc.citation.title | IEEE Internet of Things Journal | - |
dc.citation.volume | 11 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Deafness | - |
dc.subject.keywordAuthor | deep Q-network | - |
dc.subject.keywordAuthor | Deep reinforcement learning | - |
dc.subject.keywordAuthor | directional MAC | - |
dc.subject.keywordAuthor | Internet of Things | - |
dc.subject.keywordAuthor | Media Access Protocol | - |
dc.subject.keywordAuthor | Millimeter wave communication | - |
dc.subject.keywordAuthor | Protocols | - |
dc.subject.keywordAuthor | Q-learning | - |
dc.subject.keywordAuthor | Throughput | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.