Network aggregation mechanism for vehicular ad hoc networks (VANETs) aims at improving communication efficiency by summarizing information that is exchanged between vehicles. Summaries are calculated, while data items are generated in and forwarded through the network. Due to this vehicular networks are special types of VANET that support diverse infrastructure-based commercial services including internet access, real-time traffic management, video streaming, and content distribution. The success of network acquisition and delivery system depends on their ability to defend against the different types of security and privacy attacks that exist in VANETs. In this research work different protocols like AODV, Q-Learning approach and cryptographic approach that being used in VANET have been studied and their performance has been then evaluated by providing a real time environment on NS2.

Abstract-Bandwidth allocation and routing are two important mechanisms in the provision of guaranteed QoS in wireless networks. The QoS provisioning algorithms developed in mobile ad hoc networks might not be applied directly in wireless mesh networks, since, WiMax based backhaul mesh networks have different characteristics. In this paper, to solve the routing and resource allocation issues, we propose to design a joint routing and bandwidth allocation protocol for WiMAX networks. In this protocol, a bandwidth estimation technique is combined with route discovery and setup in order to find a best route. While estimating the bandwidth, both local bandwidth and the bandwidth of all nodes within the interference range, are considered. The bandwidth estimation technique is applied on the standard on-demand routing protocol by modifying the route request and route reply packets. By simulation results, we show that the proposed protocol achieves more throughput and bandwidth utilization when compared with the existing protocol.Index Terms-IEEE 802.16, WiMax Mesh Networks, QoS, metropolitan area networks (MANs), Route Discovery.

Resource allocation is been shown to provide substantial performance gain in wireless systems, such as WiMAX, when full channel state information (CSI) is available. But in some fading environments (e.g., fast fading), there may not be a feedback link. In this paper, we consider resource allocation strategies for downlink multiuser mobileWiMAX systems. We address the problem of subchannel assignment and power allocation. This problem is formulated as a nonlinear stochastic constrained optimization problem. We provide an analytical solution based on the Lagrange.

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I propose the primary visualization of the cost estimate to evaluate the costs of the cloud database in simple and codified cases from the point of view of an occupant in a intermediate term period. Consider the variability of cloud costs and the chances that the database workload will vary in the evaluation time frame. The proposed model is instantiated in relation to some offers of cloud service providers and related authentic costs. Obviously, adaptable encryption affects the costs recognized with the capacity size and system usage of a database advantage.