Energy-Efficient Spectrum Sensing for IoT Devices
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dao, Nhu-Ngoc | - |
dc.contributor.author | Na, Woongsoo | - |
dc.contributor.author | Tran, Anh-Tien | - |
dc.contributor.author | Nguyen, Diep N. | - |
dc.contributor.author | Cho, Sungrae | - |
dc.date.accessioned | 2021-05-20T09:40:08Z | - |
dc.date.available | 2021-05-20T09:40:08Z | - |
dc.date.issued | 2021-03 | - |
dc.identifier.issn | 1932-8184 | - |
dc.identifier.issn | 1937-9234 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/44046 | - |
dc.description.abstract | Device-to-device communications have been considered as an indispensable enabler, which reduces the traffic burden associated with fifth-generation (5G) mobile networks. To improve the radio spectrum utilization under such a communications scheme, cognitive spectrum sensing can be used to identify temporarily available spectrum chunks for direct interconnections among user devices. Although various sensing techniques have been proposed during the last decade, improving the sensing efficiency (SE), such as energy reduction and positive sensing ratio, remains an open challenge. The problem becomes more pronounced in 5G networks, wherein battery-constrained Internet-of-Things devices (IoTDs) are densely interconnected. In this article, we optimize the SE by leveraging a lightweight yet effective adaptive medium learning method with a probabilistic decay feature. Specifically, the wireless channels that are likely available for IoTDs are sorted and sensed in the descending order of their availability likelihood/probabilities, which indicate the estimated percentage of the availability of the sensed channels. These probabilities learn from the preceding sensing results, and they decay with time. Numerical results show that the proposed sensing approach achieves significant SE improvement compared to state-of-the-art algorithms. © 2021 IEEE. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Energy-Efficient Spectrum Sensing for IoT Devices | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/JSYST.2020.2986030 | - |
dc.identifier.bibliographicCitation | IEEE Systems Journal, v.15, no.1, pp 1077 - 1085 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000628985900106 | - |
dc.identifier.scopusid | 2-s2.0-85102765009 | - |
dc.citation.endPage | 1085 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1077 | - |
dc.citation.title | IEEE Systems Journal | - |
dc.citation.volume | 15 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Device-to-device (D2D) communications | - |
dc.subject.keywordAuthor | Internet of Things (IoT) | - |
dc.subject.keywordAuthor | probabilistic sensing | - |
dc.subject.keywordAuthor | sensing efficiency (SE) | - |
dc.subject.keywordAuthor | spectrum sensing | - |
dc.subject.keywordAuthor | uncertain wireless environment | - |
dc.subject.keywordPlus | Cognitive radio | - |
dc.subject.keywordPlus | Energy efficiency | - |
dc.subject.keywordPlus | Internet of things | - |
dc.subject.keywordPlus | Learning systems | - |
dc.subject.keywordPlus | Device-to-Device communications | - |
dc.subject.keywordPlus | Energy efficient | - |
dc.subject.keywordPlus | Energy reduction | - |
dc.subject.keywordPlus | Numerical results | - |
dc.subject.keywordPlus | Sensing efficiency | - |
dc.subject.keywordPlus | Sensing techniques | - |
dc.subject.keywordPlus | Spectrum sensing | - |
dc.subject.keywordPlus | State-of-the-art algorithms | - |
dc.subject.keywordPlus | 5G mobile communication systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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