Comprehensive Study on Metaheuristics FADE Based Artificial Bee Colony Optimization Algorithm to Improve Performance of Wireless Networks

Authors

  • Virendra Tiwari  Ph.D. Scholar, Department of Computer Science, AKS University, Satna, Madhya Pradesh, India
  • Dr. Akhilesh A. Waoo  Head, Department of Computer Science, AKS University, Satna, Madhya Pradesh, India

DOI:

https://doi.org/10.32628/CSEIT206549

Keywords:

Wireless Sensor Networks, FADE, Artificial Bee Colony Optimization, Fuzzy logic-based Clustering Process, Sinkhole.

Abstract

Over the last few years, it is been experienced wireless sensor networks technologies are grabbing huge attention in almost every aspect of human lives due to its vast coverage in real-life applications. It has emerged as one of the important and very promising technologies with lots of potential from every section due to its importance in wireless information transmission. WSNs due to their useful characteristics are being considered vulnerable to several possible security attacks which may affect the performance of the system. Among these issues, most challenging issues such as sinkhole which is considered as the most dangerous attack in WSN to reduce network performance. It prevents the base station in the process of gathering complete and unmodified data from its source. This work inspired by the integration of FADE and ABC presents a new variant of the metaheuristics fuzzy adaptive differential evolution based optimization algorithm to improve the performance of a wireless sensor network.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-10-30

Issue

Volume 6, Issue 5, September-October-2020

Section

Research Articles

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How to Cite

[1]
Virendra Tiwari, Dr. Akhilesh A. Waoo, " Comprehensive Study on Metaheuristics FADE Based Artificial Bee Colony Optimization Algorithm to Improve Performance of Wireless Networks" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 5, pp.236-243, September-October-2020. Available at doi : https://doi.org/10.32628/CSEIT206549