A developed Clustering Approach to Model the Data Dissemination Types in a Highway

One of the special subclasses of ad hoc networks is a Vehicular Ad hoc Network (VANET). VANET aims to enhance and save road traffics. Providing information about traffic, accident, possible deviation, weather information, and dangers are important to the vehicle’s driver. VANETs are characterized by high mobility and dynamic topology changing which resulted in frequent communication link failures. One of the more famous methods to solve this problem is the stable clustering approach to reduce network topology changes. This paper introduces a developed clustering algorithm, that aims to build a stable cluster in a Highway environment in terms of many parameters such as traffic type, speed, number of nodes, and transmission range of each vehicle. This paper’s clustering method is center base depends on Road Side Units (RSUs) as a supervised approach. A simulation is considered to evaluate the performance of the developed algorithm in terms of three types of data dissemination (i.e., broadcast, multicast and unicast) using Net logo programming as an agent-based modeling approach. In this paper we compared the proposed algorithm with the framework in [1] results after apply its parameters in our scenarios according to the performance metrics, the analytical results show increasing the number of vehicles improves the stability and the staying duration, as well as, the average number of clusters improves to be decreasingly.