Abstract
In this paper, we propose a fuzzy-based system to assess the available edge computing resources in Software Defined Vehicular Ad hoc Networks (SDN-VANETs) by considering Quality of Service (QoS) of the communication link among vehicles as a new parameter. Our proposed system, called Fuzzy System for Assessment of Neighboring Vehicle Processing Capability (FS-ANVPC), determines if a neighbor vehicle is capable of helping out to complete certain tasks in terms of data processing. FS-ANVPC is implemented in vehicles and in SDN Controllers. It is used from vehicles which need additional resources to run their applications or process different application data related (but not limited) to VANETs. However, for that to happen, the vehicles should remain within the communication range of each other for a while and the communication link should satisfy certain requirements. In addition, the available resources of the neighbor vehicle are also considered by the system. The output decides the processing capability of that neighbor. We evaluate FS-ANVPC by computer simulations. A neighbor is decided as helpful when a communication session with the vehicle is maintained for a long time over a reliable link, while possessing a moderate amount of available resources.
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Qafzezi, E., Bylykbashi, K., Ampririt, P., Ikeda, M., Matsuo, K., Barolli, L. (2021). A QoS-Aware Fuzzy-Based System for Assessment of Edge Computing Resources in SDN-VANETs. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-030-75100-5_6
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DOI: https://doi.org/10.1007/978-3-030-75100-5_6
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