A Fully Connected Cluster with Minimal Transmission Power for IoT Using Electrostatic Discharge Algorithm

Authors

  • Mohammed A. Alanezi Computer Science and Engineering Technology University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia
  • Houssem R. E. H. Bouchekara Department of Electrical Engineering University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia
  • Muhammad. S. Javaid Department of Electrical Engineering University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia
  • Mohammad S. Shahriar Department of Electrical Engineering University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia

Keywords:

IoT, WSN, Network Power, Energy Saving

Abstract

In the emerging age of the Internet of Things (IoT), energy-efficient and reliable connection among sensor nodes gain prime importance. Wireless engineers encounter a trade-off between sensors energy requirement and their reliable full connectivity. Consequently, the need to find the optimal solution draws the attention of many researchers. In this paper, the Electrostatic Discharge Algorithm (ESDA) is proposed, implemented, and applied to minimize energy needs of a sensor node while ensuring the fully-connectedness of each node. The obtained results show that the proposed method achieves better results than those found in the literature using the particle swarm optimization method in terms of energy savings and reliable connectivity.

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Author Biographies

Mohammed A. Alanezi, Computer Science and Engineering Technology University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia

Mohammed A. Alanezi is an Associate Professor in the Department of Computer Science in the Department of Computer Science and Engineering Technology of the University of Hafr Al-Batin University where he has been serving as Vice-rector for Academic Affairs. His research interests include eGovernment, EServices, E-Health, IoT and Knowledge Management. He contributes also to the development of various projects and systems; much of his work has been in embracing digital transformation and improving the current technology to solve challenges facing the University of Hafr Al-Batin

Houssem R. E. H. Bouchekara, Department of Electrical Engineering University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia

Houssem R. E. H. Bouchekara is a Full Professor at the Electrical Engineering Department of the University of Hafr Al Batin. He has received his B.S. in Electrical Engineering from University Mentouri Constantine, Algeria, in 2004. He has received his Master in Electronic Systems and Electrical Engineering from Polytechnic School of the University of Nantes, France, 2005. He received his Ph.D. in Electrical Engineering from Grenoble Institute of Technology, France, in 2008. His research interest includes: Optimization techniques, Magnetic refrigeration, Electromagnetics, Electric machines, and Power systems

Muhammad. S. Javaid, Department of Electrical Engineering University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia

Muhammad Sharjeel Javaid received his B.S. in Electronic Engineering from GIK Institute, Pakistan in 2013. Later he completed his M.S. in Electrical Engineering from King Fahd University of Petroleum and Minerals, Saudi Arabia, in 2017. He has worked as an active member of the IET GIKI Chapter, and as general secretary in the IEEE KFUPM Chapter. Currently, he is serving as Lecturer at the University of Hafr al Batin. He has a keen interest to work on Energy Markets, Distributed Generation Optimization.

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Published

2021-03-08

How to Cite

[1]
Mohammed A. Alanezi, Houssem R. E. H. Bouchekara, Muhammad. S. Javaid, and Mohammad S. Shahriar, “A Fully Connected Cluster with Minimal Transmission Power for IoT Using Electrostatic Discharge Algorithm”, ACES Journal, vol. 36, no. 3, pp. 336–345, Mar. 2021.

Issue

2021: Vol 36 Iss 3

Section

Articles