A network selection scheme for healthcare vehicular cloud computing systems

Healthcare Vehicular Cloud Computing (VCC) systems use heterogeneous network access technologies to fulfill the requirements of medical services and enhance the health monitoring and care of vehicular users. In such a system, efficient network selection algorithms are required to satisfy the constraints of critical medical services such as health monitoring using sensors, live streaming of medical video and clinical data transmission. Therefore, in this paper a network selection scheme for supporting medical services in VCC systems is proposed. It consists of two Multi Attribute Decision Making (MADM) algorithms: the Trapezoidal Fuzzy Analytic Network Process (TF-ANP) to calculate the relative importance of the selection criteria and the Trapezoidal Fuzzy Topsis (TFT) to accomplish the ranking of the candidate networks. Both algorithms use Interval-Valued Trapezoidal Fuzzy Numbers (IVTFN). Performance evaluation shows that the suggested algorithm ensures the Always Best Connection (ABC) principle, while at the same time outperforms existing network selection schemes.