International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 10  (October 2017), Pages:  76-83

Original Research Paper

Title: Dynamic resource allocation for cognitive radio based smart grid communication networks

Author(s): Sheraz Alam 1, 2, *, Mubashar Sarfraz 1, M. B. Usman 1, M. A. Ahmad 1, Shareena Iftikhar 1

Affiliation(s):

1Department of Engineering, National University of Modern Languages, Islamabad, Pakistan
2Department of Electronics Engineering, International Islamic University, Islamabad, Pakistan

https://doi.org/10.21833/ijaas.2017.010.012

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Abstract:

Cognitive Radio (CR) is a new technology to answer the spectrum shortage problem by dynamically allowing secondary (unlicensed) users to utilize the spectrum holes, avoiding interference with primary (licensed) users. Smart Grid (SG) is an enhancement of the conventional system of electricity distribution and management. Two-way communication, smart devices, and sensors are the core competencies of SG which result in increasing the efficiency and reliability of the SG system. An enormous amount of data in the range of thousands of Terabytes is expected to be generated due to various SG applications in a fully functional smart grid communication network (SGCN), requiring a fair share of spectrum resources. CR based SGCN is widely proposed in the literature to carry a major chunk of this data to increase spectral efficiency. Dynamic spectrum allocation on the basis of fairness using CR technology is proposed in this work, which ensures the fair distribution of spectrum resources among cognitive SG users. This optimization problem is solved using heuristic approach. A comparative analysis of three algorithms: genetic algorithm (GA), particle swarm optimization (PSO) and cat swarm optimization (CSO) is presented for evaluating fairness and max sum reward (MSR). It is shown that CSO outperforms both GA and PSO in terms of average fairness and MSR achieved by secondary users for a number of allocations. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Cognitive radio, Smart grid communication network, Fairness, Max sum reward

Article History: Received 31 May 2017, Received in revised form 15 August 2017, Accepted 23 August 2017

Digital Object Identifier: 

https://doi.org/10.21833/ijaas.2017.010.012

Citation:

Alam S, Sarfraz M, Usman MB, Ahmad MA, and Iftikhar S (2017). Dynamic resource allocation for cognitive radio based smart grid communication networks. International Journal of Advanced and Applied Sciences, 4(10): 76-83

Permanent Link:

http://www.science-gate.com/IJAAS/V4I10/Alam.html

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