Smart Relay Selection Scheme Based on Fuzzy Logic with Optimal Power Allocation and Adaptive Data Rate Assignment

Authors

  • Nayab Taj Department of Electrical Engineering, University of Engineering & Technology, Peshawar, Pakistan.
  • Mohammad Haseeb Zafar Department of Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
  • Shakeel Ahmad Waqas Department of Electrical Engineering, University of Engineering & Technology, Mardan, Pakistan
  • Humaira Rehman Department of Electrical Engineering, University of Engineering & Technology, Mardan, Pakistan
  • Madini O Alassafi Department of Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
  • Imran Khan Department of Electrical Engineering, University of Engineering & Technology, Peshawar, Pakistan.

DOI:

https://doi.org/10.17762/ijcnis.v11i1.4049

Abstract

In this paper fuzzy logic-based algorithm with improved process of relay selection is presented which not only allocate optimal power for transmission but also help in choosing adaptive data rate. This algorithm utilizes channel gain, cooperative gain and signal to noise ratio with two cases considered in this paper: In case-I nodes do not have their geographical location information while in case-II nodes are having their geographical location information. From Monte Carlo simulations, it can be observed that both cases improve the selection process along with data rate assignment and power allocation, but case-II is the most reliable with almost zero probability of error at the cost of computational complexity which is 10 times more than case-I.

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Published

2019-04-20 — Updated on 2022-04-17

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How to Cite

Taj, N., Zafar, M. H., Waqas, S. A., Rehman, H., Alassafi, M. O., & Khan, I. (2022). Smart Relay Selection Scheme Based on Fuzzy Logic with Optimal Power Allocation and Adaptive Data Rate Assignment. International Journal of Communication Networks and Information Security (IJCNIS), 11(1). https://doi.org/10.17762/ijcnis.v11i1.4049 (Original work published April 20, 2019)

Issue

Vol. 11 No. 1 (2019)

Section

Research Articles