A dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines
This study investigates the network capability by introducing a self-adaptive cognition approach that can sense and dynamically configure the communication channel requirements to optimize the wireless links in coal mines. The cognitive scheme based on dual-channel is initiated to sense the optimal...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-04-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157822000490 |
| _version_ | 1819156833408909312 |
|---|---|
| author | Fawad Javaid Anyi Wang Muhammad Usman Sana Hafiz Zameer ul Hassan Imran Ashraf |
| author_facet | Fawad Javaid Anyi Wang Muhammad Usman Sana Hafiz Zameer ul Hassan Imran Ashraf |
| author_sort | Fawad Javaid |
| collection | DOAJ |
| description | This study investigates the network capability by introducing a self-adaptive cognition approach that can sense and dynamically configure the communication channel requirements to optimize the wireless links in coal mines. The cognitive scheme based on dual-channel is initiated to sense the optimal channel of transmission and the multi-node mobility system is employed to cover the area of the network where signal strength is below the threshold level. The searching model of target nodes is presented to locate the field of intermittent link and cognitive controlled mobile nodes are utilized to restore the site of intermittent link. The visible light communication (VLC) and radio frequency (RF) channels are integrated into a cognition access point and the channel modeling of both links is performed to evaluate their performance in the hostile environment of coal mines. Multi-mode waveguide and geometrical optic (GO) models are employed in the modeling of RF signal propagation and the ray-tracing approach based on Lambertian radiation pattern (LRP) is utilized to characterize the visible light propagation. The estimation of received signal power and other evaluating parameters of communication reveals the significance of the proposed study against the challenges of intermittent links in coal mines. |
| first_indexed | 2024-12-22T15:59:09Z |
| format | Article |
| id | doaj.art-a1077295d91e42c3abe2f4bd70f94558 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-12-22T15:59:09Z |
| publishDate | 2022-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-a1077295d91e42c3abe2f4bd70f945582022-12-21T18:20:43ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782022-04-0134414861497A dual channel and node mobility based cognitive approach to optimize wireless networks in coal minesFawad Javaid0Anyi Wang1Muhammad Usman Sana2Hafiz Zameer ul Hassan3Imran Ashraf4College of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, ChinaCollege of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, China; Corresponding authors.College of Computer Science Technology, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, ChinaCollege of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, ChinaInformation and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea; Corresponding authors.This study investigates the network capability by introducing a self-adaptive cognition approach that can sense and dynamically configure the communication channel requirements to optimize the wireless links in coal mines. The cognitive scheme based on dual-channel is initiated to sense the optimal channel of transmission and the multi-node mobility system is employed to cover the area of the network where signal strength is below the threshold level. The searching model of target nodes is presented to locate the field of intermittent link and cognitive controlled mobile nodes are utilized to restore the site of intermittent link. The visible light communication (VLC) and radio frequency (RF) channels are integrated into a cognition access point and the channel modeling of both links is performed to evaluate their performance in the hostile environment of coal mines. Multi-mode waveguide and geometrical optic (GO) models are employed in the modeling of RF signal propagation and the ray-tracing approach based on Lambertian radiation pattern (LRP) is utilized to characterize the visible light propagation. The estimation of received signal power and other evaluating parameters of communication reveals the significance of the proposed study against the challenges of intermittent links in coal mines.http://www.sciencedirect.com/science/article/pii/S1319157822000490Hybrid wireless communicationUnderground optical communicationHybrid channelsNode mobilityCoal mine wireless networksChannel characteristic modeling |
| spellingShingle | Fawad Javaid Anyi Wang Muhammad Usman Sana Hafiz Zameer ul Hassan Imran Ashraf A dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines Journal of King Saud University: Computer and Information Sciences Hybrid wireless communication Underground optical communication Hybrid channels Node mobility Coal mine wireless networks Channel characteristic modeling |
| title | A dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines |
| title_full | A dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines |
| title_fullStr | A dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines |
| title_full_unstemmed | A dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines |
| title_short | A dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines |
| title_sort | dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines |
| topic | Hybrid wireless communication Underground optical communication Hybrid channels Node mobility Coal mine wireless networks Channel characteristic modeling |
| url | http://www.sciencedirect.com/science/article/pii/S1319157822000490 |
| work_keys_str_mv | AT fawadjavaid adualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT anyiwang adualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT muhammadusmansana adualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT hafizzameerulhassan adualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT imranashraf adualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT fawadjavaid dualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT anyiwang dualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT muhammadusmansana dualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT hafizzameerulhassan dualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines AT imranashraf dualchannelandnodemobilitybasedcognitiveapproachtooptimizewirelessnetworksincoalmines |