Routing Optimization Security in Vanets using Adaptive Bees Life Algorithm for QoS-MRp and Batch Binding Update Scheme

In view to provide continuous services for passengers, mobility management plays a major role in Vehicular Ad hoc Networks (VANETs). As Network Mobility (NEMO) is known for its high mobility, it becomes extremely suitable for VANETs. The vision for VANETs is road safety and aimed for efficiently dealing the mobility of a set of mobile nodes using Mobile Routers (MRs). However, inefficient routing paths, multiple tunnels and Quality of Service (QoS) requirements are major important issues of NEMO. In order to solve routing problem, proposed an novel Adaptive Bees Life Algorithm (ABLA) route optimization schema in NEMO and satisfies the QOS Multicast Routing Problem (QoS-MRP). The diversity of the space problem is estimated by using certain population characteristic values and the promising areas are exploited. Many of the traditional signatures security schemas in VANETs solve security problems for route optimization, but it leads to heavy computational costs. To overcome these issues, Batch Binding Update Scheme (BBUS) is proposed for secure accomplishment by verifying multiple signatures at the same time. The experimental results showed that the proposed algorithm is efficient in its performance in multicast traffic engineering and for evaluating the route stability in NEMO.