Home > Published Issues > 2020 > Volume 15, No. 10, October 2020 >

Transmission Power Based Intelligent Model in VANET

Pushpender Sarao
Hyderabad Institute of Technology and Management, Hyderabad-501401, India

Abstract—Vehicular ad-hoc networks is very popular research domain in which research work is going on at various aspects like routing the data without loss end-to-end. Routing in such networks is very tedious task due to frequently changing the position of vehicles location-wise. In this paper an intelligent model has been developed on the basis of adaptive neuro fuzzy system for OLSR routing protocol in VANET. The proposed model is designed based on input parameters average goodput and mac/phy-overhead. Based on these parameters, transmission power can be predicted. Triangular and Gaussian membership functions have been applied for designing the decision model. A comparison work also has been carried out for Gaussian, triangular functions and NS-3 based results. At the same time, the model is investigated by simulation work carried out on network simulator-3 (NS-3) platform.
Index Terms—Goodput, mac-overhead, transmission power, ANFIS, triangular MF

Cite: Pushpender Sarao, "Transmission Power Based Intelligent Model in VANET," Journal of Communications vol. 15, no. 10, pp. 768-775, October 2020. Doi: 10.12720/jcm.15.10.768-775

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.