Energy-efficient channel selection algorithm with reduced collision probability in cognitive radio networks

Anushree Srivastava*, Raghavendra Pal, Arun Prakash, Rajeev Tripathi, Nishu Gupta, Ahmed Alkhayyat

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

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.
Original languageEnglish
JournalInternet Technology Letters
DOIs
Publication statusAccepted/In press - 2024
MoE publication typeA1 Journal article-refereed

Keywords

  • cognitive radio
  • energy efficient protocol
  • reduced collision probability
  • spectrum sensing

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