Opti-Safe: Optimal Supply and Demand For Providing Safety Services in SIoV Environment

In this paper, we propose a mechanism, termed as Opti-Safe, such that the demand of end-users and supply of mobile sensor nodes is fulfilled in a Safety-as-a-Service (Safe-aaS) platform for Social Internet of Vehicles (SIoV) environment. The end-users/customers request for decision parameters and make payment to the Safe-aaS platform. Based on their request, safety-related customized decisions are provided to them. None of the existing mechanisms provide the equilibrium condition between the sensor and vehicle owners, customers, and SSPs. The customers' requests for safety services and the presence of active, mobile sensor nodes present within a particular geographical region fluctuates with time. These mobile sensor nodes attain mobility with the variation in the geographical location of the vehicles, to which they are attached. Moreover, the service region of the SSPs is bounded and may comprise various types of geographical regions such as hilly and plane. To quantify the quality of service provided by SSPs, we define the term satisfaction factor (SF) for the registered users. The demand of customers is computed depending on the SF value. In order to find the equilibrium point, we model the utility of SSPs as an optimization function. We apply Karush-Kuhn-Tucker (KKT) conditions to find the optimal price charged by the SSPs and the number of mobile sensor nodes necessary for decision generation. We extensively simulate our proposed mechanism and observe that the satisfaction factor of users and utility of SSPs fluctuates with time.