Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs

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.

Authors

Institutions

Publication Details

Journal
International Journal of Distributed Sensor Networks
Published
2025-01-01
DOI
https://doi.org/10.1155/dsn/1778624
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs

Lina Yuan, T.C. Chang, Sheng Liu, Jing Gong et al.
International Journal of Distributed Sensor Networks
Cognitive Radio Networks and Spectrum Sensing
article

Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs

Lina Yuan, T.C. Chang, Sheng Liu, Jing Gong, Huajun Chen
article en

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.

International Journal of Distributed Sensor NetworksVol. 2025(1)
Jishou University (CN), Tongren University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 66%
Cognitive Radio Networks and Spectrum Sensing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.