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An energy-efficient spectrum-aware reinforcement learning-based clustering algorithm for cognitive radio sensor networks


Mustapha, Ibrahim and Mohd Ali, Borhanuddin and A. Rasid, Mohd Fadlee and Sali, Aduwati and Mohamad, Hafizal (2015) An energy-efficient spectrum-aware reinforcement learning-based clustering algorithm for cognitive radio sensor networks. Sensors, 15 (8). pp. 19783-19818. ISSN 1424-8220


It is well-known that clustering partitions network into logical groups of nodes in order to achieve energy efficiency and to enhance dynamic channel access in cognitive radio through cooperative sensing. While the topic of energy efficiency has been well investigated in conventional wireless sensor networks, the latter has not been extensively explored. In this paper, we propose a reinforcement learning-based spectrum-aware clustering algorithm that allows a member node to learn the energy and cooperative sensing costs for neighboring clusters to achieve an optimal solution. Each member node selects an optimal cluster that satisfies pairwise constraints, minimizes network energy consumption and enhances channel sensing performance through an exploration technique. We first model the network energy consumption and then determine the optimal number of clusters for the network. The problem of selecting an optimal cluster is formulated as a Markov Decision Process (MDP) in the algorithm and the obtained simulation results show convergence, learning and adaptability of the algorithm to dynamic environment towards achieving an optimal solution. Performance comparisons of our algorithm with the Groupwise Spectrum Aware (GWSA)-based algorithm in terms of Sum of Square Error (SSE), complexity, network energy consumption and probability of detection indicate improved performance from the proposed approach. The results further reveal that an energy savings of 9% and a significant Primary User (PU) detection improvement can be achieved with the proposed approach.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3390/s150819783
Publisher: Multidisciplinary Digital Publishing Institute
Keywords: Clustering; Reinforcement learning; Energy consumption; Cooperative sensing; Wireless sensor network; Cognitive radio
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 08 Aug 2016 09:37
Last Modified: 08 Aug 2016 09:37
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/s150819783
URI: http://psasir.upm.edu.my/id/eprint/43717
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