I. Mustapha

TL;DR: Performance comparisons of the proposed reinforcement learning-based spectrum-aware clustering algorithm with the Groupwise Spectrum Aware (GWSA)-based algorithm in terms of Sum of Square Error, complexity, network energy consumption and probability of detection indicate improved performance from the proposed approach.

TL;DR: Results indicate that with optimal channel sensing sequence and optimal sets of channels, sensing energy cost savings of 15.14% per channel sensing cycle can be achieved while improving PU detection accuracy and channel utilization compared to the sensing sequence based on Greedy search approach.

TL;DR: An energy-aware clustering (EAC) algorithm that enhances spectrum sensing performance and reduces network energy consumption thereby prolonging lifetime of the network and minimizing network wide energy consumption is presented.

TL;DR: In this paper, a collision avoidance Medium Access Control (MAC) protocol was used for the modeling and analysis of multi-hop wireless ad hoc network, in which RTS/CTS/DATA/ACK handshake and Exponential Increase Exponential Decrease (EIED) back-off mechanism were adopted.

TL;DR: In this article, the authors present a comprehensive review on the contemporary approaches to TV white space technology and practical deployments of pilot projects in Africa, which includes regulations and standardization, commercial trials, research challenges, open issues and future research directions.