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Modeling and Optimization of Direct Communications from IoT Devices to Vehicles

This paper describes networks based on direct communications between dynamic vehicles and static devices. One application of this model is an Internet of Things (IoT) setting where each moving vehicle harvests spatially distributed data generated by IoT devices. This paper presents a stochastic geometry model to capture the direct communications from IoT devices to vehicles. This model features static roads, moving vehicles, and static IoT devices. The network performance is analyzed in the spatial domain. The interference encountered by the typical vehicle, the signal-to-interference-plus-noise ratio (SINR) distribution of the typical vehicle, and the area spectral efficiency of the network are all derived in closed or integral forms. Then, we optimize the area spectral efficiency by considering the point of view of IoT devices.