Neural Network-based Dynamic Clustering Model for Energy Efficient Data Uploading and Downloading in Green Vehicular Ad-hoc Networks NNDCM Section Original Research

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Published Jul 31, 2023
https://doi.org/10.47164/ijngc.v14i3.1150
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Volume 14, Issue 3, July 2023

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Amit Choksi
Research Scholar, Gujarat Technological University, Ahmedabad, Gujarat, India
Dr. Mehul Shah
G H Patel College of Engineering and Technology, Anand, Gujarat, India

Abstract

Green VANET is an emerging field of research that spurs interest in energy consumption management for the development of smart cities. It also presents a unique variety of research problems for developing trustworthy and scalable routing protocols as vehicles are susceptible to the restrictions of road geometry and the barriers which limit networking capabilities in urban environments. Clustering is a process of assembling vehicle nodes to create a powerful and effective network infrastructure. According to recent studies, clustering-based routing algorithms in green VANET may significantly improve networking effectiveness and lower infrastructure costs. However, sometimes the vehicle nodes are unaware of their OBU energy consumption, which causes network execution issues and topological alterations. In such instances, the energy consumption of onboard sensors becomes a major problem in the clustering-based routing protocol. Hence, this paper proposes a self-organizing map neural network (SOMNN) based dynamic clustering model to identify energy-efficient nodes from each cluster for vehicular data uploading and downloading applications. The simulation results demonstrate that the proposed model solves network lifetime issues and provides superior network effectiveness with enhanced communication stability.  The suggested dynamic clustering model reduces network energy consumption by 26% and 18% in comparison to k – means (KM) and fuzzy c – means (FCM) based clustering model.

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Author Biographies

Amit Choksi, Research Scholar, Gujarat Technological University, Ahmedabad, Gujarat, India

Amit Choksi is Research Scholar at the Gujarat Technological University, Ahmedabad, Gujarat, (India). He is also an Assistant Professor at the Dept. of Electronics and Communication Engineering in Birla Vishvakarma Mahavidyalaya, Anand, Gujarat, (India). He graduated B.E. in Electronics and Communication from Veer Narmad South Gujarat University, Surat in the year 2007 and completed his M.E in Electronics & Communication Systems from Dharamsinh Desai University, Nadiad in the year 2010. He has more than 11 years of teaching experience at the undergraduate level and more than 2 years of teaching experience at the postgraduate level. His area of research interest is Digital Signal Processing, Image Processing, Computer Vision, Artificial Intelligence, Wireless Sensor Networks, Mobile Adhoc Networks, and Vehicular Adhoc Networks. He published more than 15 international journals and conference papers.

Dr. Mehul Shah, G H Patel College of Engineering and Technology, Anand, Gujarat, India

Dr. Mehul Shah is an Associate Professor at the Dept. of Electronics and Engineering at G H Patel College of Engineering and Technology, Anand, Gujarat, India. He obtained Ph.D. from IIT Bombay, Mumbai in May 2014. He graduated from Birla Vishvakarma Mahavidyalaya in the year 1997 and completed a Master of Engineering in Electronics and Communication from Dharamsinh Desai University, Nadiad in the year 2002. He has more than 19 years of teaching experience at the undergraduate level and more than 12 years of teaching experience at the postgraduate level. His research interest includes analysis and simulation of wireless communication systems like Cellular networks, Sensor Networks, Mobile Adhoc Networks, Vehicular Adhoc Networks, and Delay Tolerant Networks. He authored four books and published more than 26 international journals and conference papers. He is actively involved in M.E Dissertation work and has handled more than eleven dissertation works in the past. He was involved in a joint INDO-UK project under IU-ATC (India- UK Advanced Technology Centre) program under the ``" Pervasive Sensor Environment" theme during the year 2008 – 2011. He has visited countries like UK, Singapore, and USA for the research activity. Dr. M.B.Shah is a Co-Principle Investigator for a Minor Research Project (MRP) sanctioned by GUJCOST (Gujarat Council on Science and Technology) with the title "Pollution Monitoring for Anand City based on Delay tolerant communication technology" with an amount of Rs. 1.10 Lakh, January 2016 - December 2018.

How to Cite
Choksi, A., & Shah, M. (2023). Neural Network-based Dynamic Clustering Model for Energy Efficient Data Uploading and Downloading in Green Vehicular Ad-hoc Networks: NNDCM. International Journal of Next-Generation Computing, 14(3). https://doi.org/10.47164/ijngc.v14i3.1150
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