TY - JOUR
T1 - Energy-efficient channel selection algorithm with reduced collision probability in cognitive radio networks
AU - Srivastava, Anushree
AU - Pal, Raghavendra
AU - Prakash, Arun
AU - Tripathi, Rajeev
AU - Gupta, Nishu
AU - Alkhayyat, Ahmed
PY - 2024
Y1 - 2024
N2 - The growing demand for radio spectrum, driven by widespread communication devices, has led to spectrum congestion. Cognitive radio networks (CRNs) offer a solution by allowing secondary users (SUs) to access primary users' (PUs) channels without causing interference. This paper presents an energy-efficient channel selection algorithm aimed at reducing collision probability and energy consumption during spectrum sensing. A prediction-based model forecasts PU channel availability, enabling selective sensing. The results show a significant reduction in energy consumption, with the proposed method consuming 57.9% energy compared to 63.7% for a recent existing method. The proposed approach enhances spectrum management in next-generation wireless systems by minimizing interference and optimizing energy use.
AB - The growing demand for radio spectrum, driven by widespread communication devices, has led to spectrum congestion. Cognitive radio networks (CRNs) offer a solution by allowing secondary users (SUs) to access primary users' (PUs) channels without causing interference. This paper presents an energy-efficient channel selection algorithm aimed at reducing collision probability and energy consumption during spectrum sensing. A prediction-based model forecasts PU channel availability, enabling selective sensing. The results show a significant reduction in energy consumption, with the proposed method consuming 57.9% energy compared to 63.7% for a recent existing method. The proposed approach enhances spectrum management in next-generation wireless systems by minimizing interference and optimizing energy use.
KW - cognitive radio
KW - energy efficient protocol
KW - reduced collision probability
KW - spectrum sensing
UR - http://www.scopus.com/inward/record.url?scp=85204450581&partnerID=8YFLogxK
U2 - 10.1002/itl2.581
DO - 10.1002/itl2.581
M3 - Article
AN - SCOPUS:85204450581
SN - 2476-1508
JO - Internet Technology Letters
JF - Internet Technology Letters
ER -