Secrecy Outage Performance and Deep Learning Evaluation of Multihop Energy Harvesting IoT Networks over Nakagami-m Fading Channels
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Toan-Van Nguyen | - |
dc.contributor.author | Thong-Nhat Tran | - |
dc.contributor.author | Shim, Kyusung | - |
dc.contributor.author | Thien Huynh-The | - |
dc.contributor.author | An, Beongku | - |
dc.date.accessioned | 2022-05-18T00:40:04Z | - |
dc.date.available | 2022-05-18T00:40:04Z | - |
dc.date.created | 2022-02-08 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.issn | 2476-1052 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/21164 | - |
dc.description.abstract | In this paper, we study the secrecy outage performance of multi-hop energy harvesting Internet-of-Things (IoT) networks, where all IoT devices harvest energy from a power beacon for conveying a confidential message to multiple legitimate users in the presence of an eavesdropper. To enhance the secrecy outage probability (SOP), we propose and analyze the best relay selection (BRE) and best-path selection (BPA) schemes under Nakagami-m fading environments. Based on the analysis results, we develop a deep learning model for the proposed schemes to evaluate the system SOP. Numerical results show that the BPA scheme greatly outperforms the BRE one, showing the efficiency of the best-path selection approach. Moreover, the deep learning model is capable of predicting the SOP of all schemes with high accuracy while it drastically reduces the execution time, arising a real-time configuration for multi-hop energy harvesting IoT networks. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Secrecy Outage Performance and Deep Learning Evaluation of Multihop Energy Harvesting IoT Networks over Nakagami-m Fading Channels | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Thien Huynh-The | - |
dc.identifier.wosid | 000669743300126 | - |
dc.identifier.bibliographicCitation | International Symposium on Computer, Consumer and Control (IS3C), pp.484 - 488 | - |
dc.relation.isPartOf | International Symposium on Computer, Consumer and Control (IS3C) | - |
dc.relation.isPartOf | 2020 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2020) | - |
dc.citation.title | International Symposium on Computer, Consumer and Control (IS3C) | - |
dc.citation.startPage | 484 | - |
dc.citation.endPage | 488 | - |
dc.citation.conferencePlace | CH | - |
dc.citation.conferencePlace | Natl Chin Yi Univ Technol, Taichung, TAIWAN | - |
dc.citation.conferenceDate | 2020-11-13 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 2 | - |
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