Vehicular Ad Hoc Networks (VANET) Research Papers (original) (raw)

Clustering is a technique used in network routing to enhance the performance and conserve the network resources. This paper presents a cluster-based routing protocol for VANET utilizing a new addressing scheme in which each node gets an address according to its mobility pattern. Hamming distance technique is used then to partition the network in an address-centric manner. The simulation results show that this protocol enhances routing reachability, whereas reduces routing end-to-end delay and traffic received comparing with two benchmarks namely AODV and DSDV.

The core of the study is to familiarize with the necessity of Ad-hoc Networks carried by Vehicular Ad-hoc Networks in effect to monitor and manage traffic hazard and the highways could be made more productive. The forefront suggestion could empower the travelers (the actual highway traffic trend-setters with VANET'S implementation). As well as they could have been informed and updated before the actual jam takes place so that more productive they become by avoiding the jams. The proposed system would contribute greatly to guard them and ensure the safe journey as well as could be unfailing help for authorities to face the emergencies forehand. Resultantly, a time saving and life guarding system can be put into effect to avoid all loses at large.

- by عبدالرحمن بلوچ and +1
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- Traffic Management, MANETs, Vehicular Ad Hoc Networks (VANET)

ABSTRACT: The fundamental component for the success of VANET (Vehicular Ad hoc NETworks) applications is routing since it must efficiently handle rapid topology changes and a fragmented network. On demand set up, fault tolerance and unconstrained connectivity are a couple of advantages that why mobile computing continues to enjoy rapid growth.However, it can be expected that security attacks are likely to increase in the coming future due to the more and more wirelss applications being developed and deployed on to the well-known expose nature of wireless medium. Thanks to the substantial research efforts carried out by the community so far, we make the following contribution in this paper. In this paper we are specifically taking real life application of mobile ad-hoc networks i.e. VANET (vehicular adhoc networks). We will present a novel infrastructure for vehicle communication on highway and propose some potential security challenges from a driver’s perspective and car manufacture...

- by Ramesh Kait
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- Security, MANETs, Vehicular Ad Hoc Networks (VANET), Vc

As vehicle population has been increasing on a daily basis, this leads towards increased number of accidents. To overcome this issue, Vehicular Ad Hoc Network (VANET) has come up with lot of novel ideas such as vehicular communication, navigation and traffic controlling. In this study, the main focus is on congestion control at the intersections which result from unclear ahead. For this purpose, a city lane and intersection model has been proposed to manage vehicle mobility. It shows the actual vehicle to vehicle and vehicle to traffic infrastructure communication. The experiment was conducted using Network Simulator 2 (NS 2). The implementation required modelling the road side unit, traffic control unit, and on-board unit along the roadside. In the simulation, including traffic volume, the distance between two signals, end-to-end delay, packet delivery ratio, throughput and packet lost were taken into consideration. These parameters ensure efficient communication between the traffic signals. This results in improved congestion control and road safety, since the vehicles will be signalled not to enter the junction box and information about other vehicles.

The purpose of this work is to study and analyze the current state of urban mobility and the efficiency of the automotive self-organized network (VANET). To reveal possible strategies for the development of sustainable urban mobility... more

- by Ganna Weigang and +1
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- Vehicle, Vehicular Ad Hoc Networks (VANET), Security of Networks

International journal on applications of graph theory in wireless ad hoc networks and sensor networks (ABSTRACT We compare the probability of k-Connectivity of an ad hoc network under Random Way Point (RWP), City Section and Manhattan mobility models. A Network is said to be k-Connected if there exists at least k edge disjoint paths between any pair of nodes in that network at any given time and velocity. Initially, for each of the three mobility models, the movement of the each node in the ad hoc network at a given velocity and time are captured and stored in the Node Movement Database (NMDB). Using the movements in the NMDB, the location of the node at a given time is computed and stored in the Node Location Database (NLDB). A weighted graph is created using the location of the nodes from NLDB, which is converted into a residual graph. The k-Connectivity of this residual graph is obtained by running Ford-Fulkerson's algorithm on it. Ford Fulkerson's algorithm computes the maximum flow of a network by recording the flows assigned to different routes from each node to all the other nodes in the network. When run for a particular source-destination pair (s, d) pair on a residual network graph with unit edge weights as capacity, the maximum flow determined by Ford-Fulkerson' algorithm is the number of edge disjoint s-d paths on the network graph. Simulations show that the RWP model yields the highest probability of k-Connectivity compared to City Section and Manhattan mobility models for a majority of different node densities and velocities considered. Simulation results also show that, for all the three mobility models, as the k value increases, the probability of k-Connectivity decreases for a given density and velocity and as the density increases the probability of k-Connectivity increases.

There is a great need for having reliable and accurate positioning technique for many wireless network technologies such as the Wireless Ad Hoc Networks, Wireless Sensor Networks, Vehicular Ad Hoc Networks, and Wireless Local Area Networks. In addition, the Mobile Computing which still in the development phase requires good localization system for the mobile nodes. The system must allow each node to know precisely its current position or location in real time. Despite the many works that exist in the literature in this area, all of the proposals have some limitations. The features of optimal system are accurate, reliable, scalable, lightweight, and inexpensive. There are many works for the use of the Received Signal Strength (RSS) as a positioning system. However, in these works the accuracy of the positioning is very bad, about 50 meters. In this paper, we provide positioning technique based on the RSS and satisfy the mentioned optimal system features. The obtained experimental results showed an accuracy that can be better than only 2 meters. This huge improvement is due to the way by which the system is used to minimize the radio interference and the near-far problems.

The rapid increase of vehicular traffic and congestion on the highways began hampering the safe and
efficient movement of traffic. Consequently, year by year, we see the ascending rate of car accidents and
casualties in most of the countries. Therefore, exploiting the new technologies, e.g. wireless sensor networks,
is required as a solution of reduction of these saddening and reprehensible statistics. This has motivated us to
propose a novel and comprehensive system to utilize Wireless Sensor Networks for vehicular networks. We
coin the vehicular network employing wireless Sensor networks as Vehicular Ad Hoc and Sensor Network, or
VASNET in short. The proposed VASNET is particularly for highway traffic .VASNET is a self-organizing Ad
Hoc and sensor network comprised of a large number of sensor nodes. In VASNET there are two kinds of
sensor nodes, some are embedded on the vehicles-vehicular nodes- and others are deployed in predetermined
distances besides the highway road, known as Road Side Sensor nodes (RSS). The vehicular nodes are used to
sense the velocity of the vehicle for instance. We can have some Base Stations (BS) such as Police Traffic
Station, Firefighting Group and Rescue Team. The base stations may be stationary or mobile. VASNET
provides capability of wireless communication between vehicular nodes and stationary nodes, to increase
safety and comfort for vehicles on the highway roads. In this paper we explain main fundamentals and
challenges of VASNET