A Generalized Framework for Quality of Experience (QoE)-Based Provisioning in a Vehicular Cloud

Recently, Vehicular Cloud Computing (VCC) are promising to convey relatively more communication, on-demand and based on pay-as-you-go fashion. Such environment concept's is being widely adopted, which is resulting in several research issues and challenges. Privacy, service cost and provisioning delay are identified as the most crucial challenges to be addressed. This paper extends our previous work [10] and builds a generalized of quality-of-experience (QoE) design. QoE requirements are collected via numerous vehicular nodes in the vehicular cloud and re-formulated by a weighted combination of these factors, i.e., delay, price and information revealed to the Trusted Third Party (TTP). Extensive simulations are run in order to evaluate the performance of our proposed framework. Through simulations, we show that QoE-based service provisioning in a vehicular cloud fulfils the service requirements by making a compromise between delay, service cost and information revealed to the TTP.