This work presents a metaheuristic approach of solving Reliability-Redundancy-Allocation- Problem (RRAP) of a system using Grey Wolf Optimization (GWO) algorithm. The RRAP is restructured here for different configurations of a system such as series, series-parallel, bridge, and a practical system of over-speed protection. The solution of RRAP provides the decision in selecting the optimal number of redundant components with the corresponding reliability level of each subsystem to maximize the overall reliability of a system subjected to non-linear resource constraints. The proposed approach using the GWO algorithm provides better results with higher exploration and exploitation capability of search space than the existing solutions in the literature. Further, with the computation of Maximum Possible Improvement (MPI) using other optimization methods, it is evident that GWO solves the RRAPs efficiently and delivers maximum reliability of the system with an optimal selection of components.

Abstract-VehicularAd hoc network is the most fast growing which shape fresh engineering opportunities like controlling traffic smartly, optimal resource maintenance and improved service for customers. Vehicular Ad hoc Network (VANET) is one of the most popular ad hoc networks. A vehicular ad hoc network generally faces the problems like trust modeling, congestion, and battery optimization issues. If the nodes are comparatively less than it can handle the traffic well when it comes to transferring the data at a rapid rate. But, when it comes to high-density traffic than a Vehicular network always faces congestion problem. This paper tried to find the reliable solution to the traffic management by adding up the virtual gears into the network and optimizes the congestion problem by using a trust queue which is updated with the broadcast concept of the hello packets in order to remove the unwanted nodes in the list. The network performance has been measured with QOS Parameters like delay, throughput, and other parameters to prove the authentication of the research.

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