Modeling connectivity for vehicular adhoc networks under high traffic density with interference

Abstract

Previous studies of connectivity in Vehicular Ad hoc Networks (VANETs) were done with slight traffic interference in low traffic road scenarios. 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 inter-vehicle distance is assumed to follow the Nakagami-m model distribution unlike under light traffic scenarios where the inter-vehicle spacing is assumed to follow the exponential 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 connectivity probability of the vehicles increased with increase in the communication range. It can be further observed that the connectivity probability decreases with the increase in the length of the road segment.