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http://dx.doi.org/10.3837/tiis.2020.06.021

Energy Harvesting Technique for Efficient Wireless Cognitive Sensor Networks Based on SWIPT Game Theory  

Mukhlif, Fadhil (Department of Electrical Engineering, Faculty of Engineering, University of Malaya)
Noordin, Kamarul Ariffin Bin (Department of Electrical Engineering, Faculty of Engineering, University of Malaya)
Abdulghafoor, Omar B. (Electronic and Telecommunication Department, College of Engineering, the American University of Kurdistan)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.14, no.6, 2020 , pp. 2709-2734 More about this Journal
Abstract
The growing demand to make wireless data services 5G compatible has necessitated the development of an energy-efficient approach for an effective new wireless environment. In this paper, we first propose a cognitive sensor node (CSN) based game theory for deriving energy via a primary user-transmitted radio frequency signal. Cognitive users' time was segmented into three phases based on a time switching protocol: energy harvest, spectrum sensing and data transmission. The proposed model chooses the optimal energy-harvesting phase as the effected factor. We further propose a distributed energy-harvesting model as a utility function via pricing techniques. The model is a non-cooperative game where players can increase their net benefit in a selfish manner. Here, the price is described as a function pertaining to transmit power, which proves that the proposed energy harvest game includes Nash Equilibrium and is also unique. The best response algorithm is used to achieve the green connection between players. As a result, the results obtained from the proposed model and algorithm show the advantages as well as the effectiveness of the proposed study. Moreover, energy consumption was reduced significantly (12%) compared to the benchmark algorithm because the proposed algorithm succeeded in delivering energy in micro which is much better compared to previous studies. Considering the reduction and improvement in power consumption, we could say the proposed model is suitable for the next wireless environment represented in 5G.
Keywords
cognitive sensor network (CSN); WSN; SWIPT; time switching (TS); power control; green communication; game theory; 5G network;
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