Modeling Connectivity for Vehicular Adhoc Networks Under Interference

Previous studies of connectivity in Vehicular Ad hoc Networks (VANETs) were done with consideration of low interference to the traffic. These studies were done under the assumption that the interference were negligible. However, under high density traffic scenarios, nearby vehicles cause interference to the connectivity of the vehicles causing reduction in signal strength. This study developed analytical models that incorporates interference and can be used to investigate the communication interference of other vehicles’ signals on connectivity under high density traffic in terms of connectivity probability as the performance metric. Under dense traffic scenarios, the interference can be modeled using the Nakagami-m model distribution. The numerical results obtained from the derived models show that increase in intereference leads to decrease in connectivity probability. It is also observed that increase in traffic density decreased the connectivity probability due to increased interference. Furthermore, it is noted that as the communication range increases, connectivity probability also increases. It is also observed that the connectivity probability reduces as the length of the road segment is increased.