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Original scientific paper

Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme

Muthukkumar R ; National Engineering College, Tamil Nadu, India
Manimegalai D

Fulltext: english, pdf (334 KB) pages 21-31 downloads: 542* cite
APA 6th Edition
R, M. & D, M. (2016). Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme. Acta graphica, 27 (2), 21-31. Retrieved from https://hrcak.srce.hr/164830
MLA 8th Edition
R, Muthukkumar and Manimegalai D. "Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme." Acta graphica, vol. 27, no. 2, 2016, pp. 21-31. https://hrcak.srce.hr/164830. Accessed 29 Sep. 2020.
Chicago 17th Edition
R, Muthukkumar and Manimegalai D. "Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme." Acta graphica 27, no. 2 (2016): 21-31. https://hrcak.srce.hr/164830
Harvard
R, M., and D, M. (2016). 'Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme', Acta graphica, 27(2), pp. 21-31. Available at: https://hrcak.srce.hr/164830 (Accessed 29 September 2020)
Vancouver
R M, D M. Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme. Acta graphica [Internet]. 2016 [cited 2020 September 29];27(2):21-31. Available from: https://hrcak.srce.hr/164830
IEEE
M. R and M. D, "Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme", Acta graphica, vol.27, no. 2, pp. 21-31, 2016. [Online]. Available: https://hrcak.srce.hr/164830. [Accessed: 29 September 2020]

Abstracts
Cognitive Radio (CR) is a promising and potential technique to enable secondary users (SUs) or unlicenced users to exploit the unused spectrum resources effectively possessed by primary users (PUs) or licenced users. The proven clustering approach is used to organize nodes in the network into the logical groups to attain energy efficiency, network scalability, and stability for improving the sensing accuracy in CR through cooperative spectrum sensing (CSS). In this paper, a distributed dynamic load balanced clustering (DDLBC) algorithm is proposed. In this algorithm, each member in the cluster is to calculate the cooperative gain, residual energy, distance, and sensing cost from the neighboring clusters to perform the optimal decision. Each member in a cluster participates in selecting a cluster head (CH) through cooperative gain, and residual energy that minimises network energy consumption and enhances the channel sensing. First, we form the number of clusters using the Markov decision process (MDP) model to reduce the energy consumption in a network. In this algorithm, CR users effectively utilize the PUs reporting time slots of unavailability. The simulation results reveal that the clusters convergence, energy efficiency, and accuracy of channel sensing increased considerably by using the proposed algorithm.

Keywords
Cognitive radio (CR); cooperative spectrum sensing (CSS); clustering; energy efficiency

Hrčak ID: 164830

URI
https://hrcak.srce.hr/164830

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