Efficient Local Density Estimation Strategy for VANETs

Abstract

Local vehicle density estimation is increasingly becoming an essential factor of many vehicular ad-hoc network applications such as congestion control and traffic state estimation. This estimation is used to get an approximate number of neighbors within the transmission range since beacons do not give accurate accuracy about neighborhood. These is due to the special characteristics of VANETs such as high mobility, high density variation. To enhance the performance of these applications, an accurate estimation of the local density with minimum of overhead is needed. Most of the proposed strategies address the global traffic density estimation without a big attention on the local density estimation. This paper proposes an improved approach for local density estimation in VANETs in terms of accuracy and overhead. The simulation results showed that our strategy allows an interesting precision of estimation with acceptable overhead.