Reliable and Efficient Message Dissemination by Adaptive Relay Selection in Vehicular Networks

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Published Oct 31, 2022
https://doi.org/10.47164/ijngc.v13i3.828
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Volume 13, Special Issue 3, October 2022

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Mehul Vala
Atmiya University
Dr. Vishal Vora
Atmiya University

Abstract

Successful message reception of an emergency event is the key objective of emergency message dissemination protocols in vehicular networks. This research paper proposes a new multi-hop data dissemination protocol for relay node selection for emergency events in vehicular networks. The proposed protocol is dynamically adaptive to vehicular density and link quality during the data dissemination process. Thus making it a viable solution for both practical scenarios. The protocol is evaluated by considering different vehicle density and network size. Simulation outputs confirm considerable performance improvements over existing distance-dependent protocols. In urban traffic density scenarios, over 20% improvements are achieved in delay performance to the furthest distance-based protocol with increased reliability and scalability in vehicular networks.

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biography

Dr. Vishal Vora, Atmiya University

Dr. Vishal Vora born on 10th September, 1982 in Rajkot, Gujarat, India. Dr. Vishal has 16.10 years of teaching experience in Engineering Education, had completed Bachelor of Engineering, Master of Engineering and Ph.D. in Electronics & Communication Engineering.

Currently Dr. Vishal is working as Head & Associate Professor in the department of Electronics & Communication Engineering at Atmiya University, Rajkot. He has published more than 40 Research Papers in National & International Reputed Journals. His expert area are Wireless Communication, Signal Processing, Embedded System and VLSI Design.

How to Cite
Vala, M., & Vora, V. . (2022). Reliable and Efficient Message Dissemination by Adaptive Relay Selection in Vehicular Networks. International Journal of Next-Generation Computing, 13(3). https://doi.org/10.47164/ijngc.v13i3.828
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