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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

Puni tekst: engleski, pdf (334 KB) str. 21-31 preuzimanja: 481* citiraj
APA 6th Edition
R, M. i 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. Preuzeto s https://hrcak.srce.hr/164830
MLA 8th Edition
R, Muthukkumar i Manimegalai D. "Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme." Acta graphica, vol. 27, br. 2, 2016, str. 21-31. https://hrcak.srce.hr/164830. Citirano 16.09.2019.
Chicago 17th Edition
R, Muthukkumar i Manimegalai D. "Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme." Acta graphica 27, br. 2 (2016): 21-31. https://hrcak.srce.hr/164830
Harvard
R, M., i D, M. (2016). 'Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme', Acta graphica, 27(2), str. 21-31. Preuzeto s: https://hrcak.srce.hr/164830 (Datum pristupa: 16.09.2019.)
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 [pristupljeno 16.09.2019.];27(2):21-31. Dostupno na: https://hrcak.srce.hr/164830
IEEE
M. R i M. D, "Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks Using Distributed Dynamic Load Balanced Clustering Scheme", Acta graphica, vol.27, br. 2, str. 21-31, 2016. [Online]. Dostupno na: https://hrcak.srce.hr/164830. [Citirano: 16.09.2019.]

Sažetak
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.

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

Hrčak ID: 164830

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

Posjeta: 594 *