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Communication Dans Un Congrès Année : 2013

Adaptive data collection protocol using reinforcement learning for VANETs

Résumé

Data Collection is considered as an inherent challenging problem to Vehicular Ad-Hoc networks. Here, an Adaptive Data cOllection Protocol using rEinforcement Learning (ADOPEL) is proposed for VANETs. It is based on a distributed Qlearning technique making the collecting operation more reactive to nodes mobility and topology changes. A reward function is provided and defined to take into account the delay and the number of aggregatable packets. Simulations results confirm the efficiency of our technique compared to a non-learning version and demonstrate the trade-off achieved between delay and collection ratio.
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Dates et versions

hal-00865289 , version 1 (07-10-2013)

Identifiants

Citer

Ahmed Soua, Hossam Afifi. Adaptive data collection protocol using reinforcement learning for VANETs. IWCMC 2013 : The 9th IEEE International Wireless Communications and Mobile Computing Conference, Jul 2013, Cagliary, Italy. pp.1040 - 1045, ⟨10.1109/IWCMC.2013.6583700⟩. ⟨hal-00865289⟩
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