Various Roadside Populations Effects on Data Throughput over Cooperative Vehicular Ad hoc Networks

Roadside units in Vehicular Ad hoc Networks are essential for acting as base stations that facilitate information spreading to vehicular users in the roads. Typically, vehicular nodes search for an infrastructure within their vicinity to fulfill the requested services such as internet accessing or content file handling. Due to the essentiality of the presence of roadsides as well as the high costs for installing them, determining the appropriate roadside populations is an ongoing challenge. According to the surrounding vehicular density, we aim to assure higher data throughput in order to accomplish a cooperative network. This paper considers the roadside populations as to supply vehicles’ requirements based on both a proposed algorithm and simulation results. Moreover, we study the roadside selfparticipation to enhance the transfer rates and achieve fair resource distribution among the requested vehicles based on coalition formation. Simulation results have proven that the variation of the roadside populations influences the data throughput. Additionally, the cooperative environment among vehicular nodes achieves higher roadside participation ratios especially in the maximum case.