JP Journal of Heat and Mass Transfer
Special Volume, Issue III, Advances in Mechanical System and ICT-convergence, Pages 311 - 323
(August 2018) http://dx.doi.org/10.17654/HMSI318311 |
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PERFORMANCE EVALUATION OF OPTIMAL FORAGING APPROACH FOR DYNAMIC SPECTRUM RECONFIGURATION IN COGNITIVE RADIO NETWORKS
O. A. Oki, T. O. Olwal, P. Mudali and M. O. Adigun
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Abstract: The dynamic spectrum management techniques have been introduced to address the current radio frequency bands inefficiency challenges. Few research works have attempted to address the dynamic reconfiguration problems in spectrum management using various approaches. However, these existing approaches have not been able to achieve optimal solution due to certain challenges. Hence, why these existing approaches are not achieving optimal result and what other approach can be used to achieve optimal reconfiguration results are still open challenges that need to be addressed. Therefore, this work highlights the challenges with existing approaches and presents a biologically-inspired optimal foraging model for dynamic reconfiguration in a distributed cognitive radio network. The proposed model results were compared with three existing models, using MATLAB simulation. The obtained results show that the proposed foraging model outperformed dynamic strategy, Q-learning and game-based models in the achieved average channel switching time, network throughput, successful transmission probability and energy efficiency. |
Keywords and phrases: biologically-inspired, cognitive radio, decision making, distributed, foraging, spectrum reconfiguration. |
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