The broadcast storm problem in a mobile ad hoc network
Wireless Networks - Selected Papers from Mobicom'99
Comparison of broadcasting techniques for mobile ad hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Advances in Network Simulation
Computer
Dynamic probabilistic broadcasting in MANETs
Journal of Parallel and Distributed Computing
Impact of radio propagation models in vehicular ad hoc networks simulations
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
A self-adaptive multiagent evolutionary algorithm for electrical machine design
Proceedings of the 9th annual conference on Genetic and evolutionary computation
ParadisEO-MOEO: a framework for evolutionary multi-objective optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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Broadcasting efficiently in a Vehicular Ad hoc Network (VANET) is a hard task to achieve. An efficient communication algorithm must take into account several aspects such as the neighboring density, the size and shape of the network, the use of the channel, the priority level of the message. Some studies [6, 12, 13] have proposed new solutions of broadcasting on such a network, but it is quite hard to evaluate their performance in various contexts. In order to determine the best repeating situation for each node in the network according to its environment, we developed a tool combining a network simulator (NS2) and an evolutionary algorithm. In this paper, we study four types of context and we tackle the best behavior for each node to determine the right input parameters. These studies are necessary to develop efficient broadcast algorithms in VANET.