Optimization of communication in VANETs using fuzzy logic and artificial Bee colony

Author:

Arif Muhammad1,Wang Guojun1,Peng Tao1,Balas Valentina Emilia2,Geman Oana3,Chen Jianer1

Affiliation:

1. School of Computer Science, Guangzhou University, Guangzhou, Guangdong, China

2. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania

3. Department of Health and Human Development, Stefan cel Mare University of Suceava, Romania

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference32 articles.

1. A multi-objective artificial bee colony algorithm combined with a local search method;Tang;International Journal on Artificial Intelligence Tools, World Scientific,2016

2. Dynamic data clustering by combining improved discrete artificial bee colony algorithm with fuzzy logic;Amiri;International Journal of Bio-Inspired Computation,2018

3. Increasing intelligence in inter-vehicle communications to reduce traffic congestions: experiments in urban and highway environments;Meneguette;PLoS one, Public Library of Science,2016

4. Car to infrastructure communication in the field;Schweiger;Computer Networks, Elsevier,2011

5. Cappiello A. , Chabini I. and Nam E.K. , A statistical model of vehicle emissions and fuel consumption, in: Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems, (2002), 801–809.

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