# An Efficient Framework Model for Optimizing Routing Performance in VANETs
## 2 Related Work  
The ordinary OLSR RFC-3626 [25] routing protocol was introduced to select a routing-based link state. However, this protocol has a number of weaknesses in terms of complete resource utilization and bandwidth manageability to formulating the shortest path based on the number of hop count. To enhance the reliability and routing efficiency, the authors in [26] studied the trade-off between the cost of routes, accuracy, and QoS metrics. They checked effectiveness of this solution based on utilizing of network resources by reducing the time interval between two successive beaconing packets. It offering more accurate neighbors information in spite of using different size of a Constant Bit Rate (CBR) to examine data flow. In [24] authors took into account tuning routing configuration parameters to allow each node to exchange recent knowledge periodically. This tuning was successful and immediately calculated the routing table but for less dynamic topology. The QoS constraints do not consider the classical routing protocols when selects a path, authors in [27] studied in depth the effects of changing the internal network settings for the routing protocol performance, and illustrated the relationship between various values of path control messages on the increasing/decreasing routing overhead ratio. In addition, they studied the impact of increased data rate with node density on routing performance. Accordingly, the authors in [28] guarantee the QoS metrics in terms of the response time and packet loss. Furthermore, the QoS allowed optimizing links stability based on nodes mobility information. A comprehensive study about the impact of data flows on achieved routes validity used CBR data flow between vehicles to study the impact of different mobility models on the performance of the routing protocol in Vehicular Networks [29]. For this propose, an interesting study included several obstacles and constraints; a QoS was used as a metric to optimize OLSR parameters in terms of packet delays and PDR by reducing the refresh interval time [30]. The authors studied different impacts on OLSR timer message intervals by tuning OLSR parameters under various node speeds and densities. On the other hand, authors in [31] took the QoS requirements to enhance routing protocols in Vehicular Networks, and highlighted the most specific challenges and limitations. Tuning routing parameters is an important issue to enhance the exchanging route information between neighboring nodes correctly [23], and leads to improved route discovery decisions in high dynamic mobility environments. The reason for tuning any routing protocol configuration parameters was proposed to enhanced routing ability and functionality to cope with the target environments. Moreover, the main goal of optimization was to detect broken paths and to enhance the maintenance route procedure. In [32] authors focused on the influential issues for the robustness of routing protocols. They took into consideration the requirements of QoS such as high packet delivery ratio when translating videos streamed over User Datagram Protocol (UDP) application. The goal of this adaptation was to improved the robustness of routing protocol when network topology changes and no transmission mechanism was applied on higher layer. The framework approach was introduced to obtain the knowledge about the current mobility as a main issue in dynamic mobility, which used the video-streamed base on UDP in order to optimize routing decisions and reduce the influence of path losses [33]. In [11], the authors used optimization techniques to tune the routing parameters in order to adjust routing functionality and find the best solution based on a fitness cost, which ensures routing packets to its final destination. The new parameters significantly improved the routing performance in terms of end-to-end delay compared to the default parameters.