Spectrum Sensing Based Geographic Opportunity Routing Protocol in Cognitive Radio Network

The cognitive radio network (CRN) paradigm, though promising for alleviating IoT-induced spectrum pressure, faces significant challenges in routing protocol design, particularly in effective channel information utilization for reliable end-to-end communication. To address this issue, we propose GORP, a geographic opportunistic routing protocol that leverages spectrum sensing capabilities and spatial information of cognitive nodes. GORP employs a distributed spectrum sensing mechanism enabling cognitive users to identify idle channels while incorporating both geographical location data and statistical channel information to optimize next-hop relay node selection for reliable route establishment. Experimental results demonstrate that GORP significantly outperforms the existing SEARCH protocol, achieving substantial improvements in terms of end-to-end delay and energy during data transmission.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cscwd64889.2025.11033323
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
0.00

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article

Spectrum Sensing Based Geographic Opportunity Routing Protocol in Cognitive Radio Network

Yuting Wang, Ya He, Yong Guo, Yong Yang
Cognitive Radio Networks and Spectrum Sensing
article

Spectrum Sensing Based Geographic Opportunity Routing Protocol in Cognitive Radio Network

Yuting Wang, Ya He, Yong Guo, Yong Yang
article en

Abstract

The cognitive radio network (CRN) paradigm, though promising for alleviating IoT-induced spectrum pressure, faces significant challenges in routing protocol design, particularly in effective channel information utilization for reliable end-to-end communication. To address this issue, we propose GORP, a geographic opportunistic routing protocol that leverages spectrum sensing capabilities and spatial information of cognitive nodes. GORP employs a distributed spectrum sensing mechanism enabling cognitive users to identify idle channels while incorporating both geographical location data and statistical channel information to optimize next-hop relay node selection for reliable route establishment. Experimental results demonstrate that GORP significantly outperforms the existing SEARCH protocol, achieving substantial improvements in terms of end-to-end delay and energy during data transmission.

Tiangong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 85%
Cognitive Radio Networks and Spectrum Sensing
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