Machine Learning-assisted Distance Based Residual Energy Aware Clustering Algorithm for Energy Efficient Information Dissemination in Urban VANETs

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Published May 14, 2024
https://doi.org/10.47164/ijngc.v15i1.1472
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Volume 15, Issue 1, March 2024

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Amit Choksi
Gujarat Technological University, Ahmedabad
Mehul Shah
G H Patel College of Engineering and Technology

Abstract

A Vehicular Ad-hoc Network (VANET) is an essential component of intelligent transportation systems in the building of smart cities. A VANET is a self-configure high mobile and dynamic potential wireless ad-hoc network that joins all vehicle nodes in a smart city to provide in-vehicle infotainment services to city administrators and residents. In the smart city, the On-board Unit (OBU) of each vehicle has multiple onboard sensors that are used for data collection from the surrounding environment. One of the main issues in VANET is energy efficiency and balance because the small onboard sensors can’t be quickly recharged once installed on On-board Units (OBUs). Moreover, conserving energy stands out as a crucial challenge in VANET which is primarily contingent on the selection of Cluster Heads (CH) and the adopted packet routing strategy. To address this issue, this paper proposes distance and energy-aware clustering algorithms named SOMNNDP, which use a Self-Organizing Map Neural Network (SOMNN) machine learning technique to perform faster multi-hop data dissemination. Individual Euclidean distances and residual node energy are considered as mobility parameters throughout the cluster routing process to improve and balance the energy consumption among the participating vehicle nodes. This maximizes the lifetime of VANET by ensuring that all intermediate vehicle nodes use energy at approximately the same rate. Simulation findings demonstrate that SOMNNDP improves Quality of Service (QoS) better and consumes 17% and 14% less energy during cluster routing than distance and energy-aware variation of K-Means (KM) and Fuzzy C-Means (FCM) called KMDP and FCMDP respectively.

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Author Biographies

Amit Choksi, Gujarat Technological University, Ahmedabad

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.

Mehul Shah, G H Patel College of Engineering and Technology

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”, January 2016 - December 2018.

How to Cite
Choksi, A., & Shah, M. (2024). Machine Learning-assisted Distance Based Residual Energy Aware Clustering Algorithm for Energy Efficient Information Dissemination in Urban VANETs. International Journal of Next-Generation Computing, 15(1). https://doi.org/10.47164/ijngc.v15i1.1472
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