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Issue title: Special Section: Ambient advancements in intelligent computational sciences
Guest editors: Shailesh Tiwari, Munesh Trivedi and Mohan L. Kohle
Article type: Research Article
Authors: Singh, Manwindera; * | Kumar, Manojb | Malhotra, Jyoteeshc
Affiliations: [a] Department of Electronics and Communication Engineering, IKG-PTU, Jalandhar, Kapurthala, Punjab, India | [b] Department of Electronics and Communication Engineering, DAVIET, Jalandhar, Punjab, India | [c] Department of Electronics and Communication Engineering, GNDU Regional Campus, Jalandhar, Punjab, India
Correspondence: [*] Corresponding author. Manwinder Singh, Ph.D, Research Scholar, Department of Electronics and Communication Engineering, IKG-PTU, Jalandhar, Kapurthala, 144603 Punjab, India. E-mail: singh.manwinder@gmail.com.
Abstract: With the advancements in cognitive radio network procedures, such as blind sensing, sensing transmission trade-off, energy aware protocols etc, effectively overcomes the power constraint issues of CBAN. In present work, such primary issues have been addressed with the help of look-up table incorporated with energy harvesting (EH). It delivers maximum achievable throughput with minimum energy consumption to obtain self-sustainable pervasive wireless networks. The experimental work has been carried out in three different scenarios (Echelon 1, 2 and 3). The key components such as look-up table and energy harvesting have also been investigated on different system parameters (like energy consumption, normalized throughput, saved and residual energy). The simulation is done with NS-2 and results are shown in Matlab for clarity. Results depict that proposed model consumes less energy and also provides a better normalised achievable throughput as compared to the conventional model.
Keywords: Cognitive radios body area network (CBAN), look-up table (LUT), energy harvesting, ultra-wide band (UWB), cooperative sensing
DOI: 10.3233/JIFS-169669
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1253-1265, 2018
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