Abstract
Even before the ongoing recent deployment of 5G technology, Mobile Edge Computing was already considered as a key driver towards the development of vehicular use cases having stringent latency and bandwidth requirements. This paper relies on 5G and proposes an agent-based collision avoidance system focusing on the Mobile Edge Computing. The general architecture of the proposal is described as well as the interactions between the involved entities of the system. The integration of trust used in social relationship brings out the flexibility of the proposal. Moreover, while some approaches neglect data preprocessing, in this paper we present the results of the online preprocessing of the data received by vehicles as a first step towards collision avoidance.
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Tchappi, I., Bottaro, A., Gardes, F., Galland, S. (2021). Towards an Online Agent Based Collision Avoidance by Mobile Edge Computing. In: Dignum, F., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science(), vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_23
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DOI: https://doi.org/10.1007/978-3-030-85739-4_23
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