Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications
Cognitive Radio Networks (CRNs) have become a successful platform in recent years for a diverse range of future systems, in particularly, industrial internet of things (IIoT) applications. In order to provide an efficient connection among IIoT devices, CRNs enhance spectrum utilization by using lice...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co.
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38261/1/Dynamic%20channel%20estimation-aware%20routing%20protocol%20in%20mobile%20cognitive%20radio%20networks.pdf |
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| author | Salih, Qusay M. Rahman, Md. Arafatur Asyhari, A. Taufiq Muhammad Kamran, Naeem Patwary, Mohammad N. Alturki, Ryan Ikram, Mohammed Abdulaziz |
| author_facet | Salih, Qusay M. Rahman, Md. Arafatur Asyhari, A. Taufiq Muhammad Kamran, Naeem Patwary, Mohammad N. Alturki, Ryan Ikram, Mohammed Abdulaziz |
| author_sort | Salih, Qusay M. |
| collection | UMP |
| description | Cognitive Radio Networks (CRNs) have become a successful platform in recent years for a diverse range of future systems, in particularly, industrial internet of things (IIoT) applications. In order to provide an efficient connection among IIoT devices, CRNs enhance spectrum utilization by using licensed spectrum. However, the routing protocol in these networks is considered one of the main problems due to node mobility and time-variant channel selection. Specifically, the channel selection for routing protocol is indispensable in CRNs to provide an adequate adaptation to the Primary User (PU) activity and create a robust routing path. This study aims to construct a robust routing path by minimizing PU interference and routing delay to maximize throughput within the IIoT domain. Thus, a generic routing framework from a cross-layer perspective is investigated that intends to share the information resources by exploiting a recently proposed method, namely, Channel Availability Probability. Moreover, a novel cross-layer-oriented routing protocol is proposed by using a time-variant channel estimation technique. This protocol combines lower layer (Physical layer and Data Link layer) sensing that is derived from the channel estimation model. Also, it periodically updates and stores the routing table for optimal route decision-making. Moreover, in order to achieve higher throughput and lower delay, a new routing metric is presented. To evaluate the performance of the proposed protocol, network simulations have been conducted and also compared to the widely used routing protocols, as a benchmark. The simulation results of different routing scenarios demonstrate that our proposed solution outperforms the existing protocols in terms of the standard network performance metrics involving packet delivery ratio (with an improved margin of around 5–20% approximately) under varying numbers of PUs and cognitive users in Mobile Cognitive Radio Networks (MCRNs). Moreover, the cross-layer routing protocol successfully achieves high routing performance in finding a robust route, selecting the high channel stability, and reducing the probability of PU interference for continued communication |
| first_indexed | 2024-03-06T13:08:05Z |
| format | Article |
| id | UMPir38261 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T13:08:05Z |
| publishDate | 2023 |
| publisher | KeAi Communications Co. |
| record_format | dspace |
| spelling | UMPir382612023-10-03T02:37:22Z http://umpir.ump.edu.my/id/eprint/38261/ Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications Salih, Qusay M. Rahman, Md. Arafatur Asyhari, A. Taufiq Muhammad Kamran, Naeem Patwary, Mohammad N. Alturki, Ryan Ikram, Mohammed Abdulaziz QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Cognitive Radio Networks (CRNs) have become a successful platform in recent years for a diverse range of future systems, in particularly, industrial internet of things (IIoT) applications. In order to provide an efficient connection among IIoT devices, CRNs enhance spectrum utilization by using licensed spectrum. However, the routing protocol in these networks is considered one of the main problems due to node mobility and time-variant channel selection. Specifically, the channel selection for routing protocol is indispensable in CRNs to provide an adequate adaptation to the Primary User (PU) activity and create a robust routing path. This study aims to construct a robust routing path by minimizing PU interference and routing delay to maximize throughput within the IIoT domain. Thus, a generic routing framework from a cross-layer perspective is investigated that intends to share the information resources by exploiting a recently proposed method, namely, Channel Availability Probability. Moreover, a novel cross-layer-oriented routing protocol is proposed by using a time-variant channel estimation technique. This protocol combines lower layer (Physical layer and Data Link layer) sensing that is derived from the channel estimation model. Also, it periodically updates and stores the routing table for optimal route decision-making. Moreover, in order to achieve higher throughput and lower delay, a new routing metric is presented. To evaluate the performance of the proposed protocol, network simulations have been conducted and also compared to the widely used routing protocols, as a benchmark. The simulation results of different routing scenarios demonstrate that our proposed solution outperforms the existing protocols in terms of the standard network performance metrics involving packet delivery ratio (with an improved margin of around 5–20% approximately) under varying numbers of PUs and cognitive users in Mobile Cognitive Radio Networks (MCRNs). Moreover, the cross-layer routing protocol successfully achieves high routing performance in finding a robust route, selecting the high channel stability, and reducing the probability of PU interference for continued communication KeAi Communications Co. 2023 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/38261/1/Dynamic%20channel%20estimation-aware%20routing%20protocol%20in%20mobile%20cognitive%20radio%20networks.pdf Salih, Qusay M. and Rahman, Md. Arafatur and Asyhari, A. Taufiq and Muhammad Kamran, Naeem and Patwary, Mohammad N. and Alturki, Ryan and Ikram, Mohammed Abdulaziz (2023) Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications. Digital Communications and Networks. pp. 1-16. ISSN 2468-5925. (Published) https://doi.org/10.1016/j.dcan.2023.01.019 https://doi.org/10.1016/j.dcan.2023.01.019 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Salih, Qusay M. Rahman, Md. Arafatur Asyhari, A. Taufiq Muhammad Kamran, Naeem Patwary, Mohammad N. Alturki, Ryan Ikram, Mohammed Abdulaziz Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications |
| title | Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications |
| title_full | Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications |
| title_fullStr | Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications |
| title_full_unstemmed | Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications |
| title_short | Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications |
| title_sort | dynamic channel estimation aware routing protocol in mobile cognitive radio networks for smart iiot applications |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/38261/1/Dynamic%20channel%20estimation-aware%20routing%20protocol%20in%20mobile%20cognitive%20radio%20networks.pdf |
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