Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs.
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| Title: | Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs. |
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| Authors: | Chen, Huajun1 (AUTHOR), Liu, Sheng2 (AUTHOR) dshls@gztrc.edu.cn, Yuan, Lina1 (AUTHOR), Chang, Tinghong1 (AUTHOR), Gong, Jing1 (AUTHOR), Reggiani, Luca (AUTHOR) luca.reggiani@polimi.it |
| Source: | International Journal of Distributed Sensor Networks. 10/10/2025, Vol. 2025, p1-13. 13p. |
| Subjects: | Cross layer optimization, Energy consumption, Adaptive routing (Computer network management), Cognitive radio, Applied sciences, Dynamic spectrum access |
| Abstract: | With the rapid development of wireless communication technology and the increasing scarcity of spectrum resources, cognitive radio networks (CRNs) have emerged as an effective means to improve spectrum utilization. This paper investigates the cross‐layer design (CLD) issues in CRNs, exploring the collaborative mechanisms among the physical layer, MAC layer, network layer, and application layer. Initially, a CLD framework considering multiple network layers is constructed. Subsequently, efficient spectrum sensing algorithms for the physical layer, dynamic spectrum access control mechanisms for the MAC layer, adaptive routing protocols for the network layer, and service quality assurance strategies for the application layer are proposed. Against two recent baselines, our CLD delivers 27% higher energy efficiency and 25% lower latency without reliability loss. These gains are attributed to the first four‐layer joint optimization framework, a latency‐aware signaling protocol, and closed‐form Pareto weight selection. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | With the rapid development of wireless communication technology and the increasing scarcity of spectrum resources, cognitive radio networks (CRNs) have emerged as an effective means to improve spectrum utilization. This paper investigates the cross‐layer design (CLD) issues in CRNs, exploring the collaborative mechanisms among the physical layer, MAC layer, network layer, and application layer. Initially, a CLD framework considering multiple network layers is constructed. Subsequently, efficient spectrum sensing algorithms for the physical layer, dynamic spectrum access control mechanisms for the MAC layer, adaptive routing protocols for the network layer, and service quality assurance strategies for the application layer are proposed. Against two recent baselines, our CLD delivers 27% higher energy efficiency and 25% lower latency without reliability loss. These gains are attributed to the first four‐layer joint optimization framework, a latency‐aware signaling protocol, and closed‐form Pareto weight selection. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 15501329 |
| DOI: | 10.1155/dsn/1778624 |
