EFFICIENT PACKET DELIVERY FRAMEWORK USING GEO-CAST ROUTING APPROACH FOR A VEHICULAR AD-HOC NETWORK (VANET)

In recent years, the technology of Vehicular Ad-hoc Networks(VANET's) communication has become more popular, allowing people to share road information with each other and use it while driving.Vehicular Ad-hoc Networks are special type of Mobile Ad-hoc Networks (MANET's) in which nodes are highly motile, so the network topology changes very fast. In order to form the communication there are several routing protocols provide to optimal path for delivery of packets. In this paper, the Geo-cast routing(GPRs) are applied for both urban and highway areas based on traffic environment. The two protocols Coverage Aware Geo-cast Routing(CAGR) in urban vehicular networks and Information Propagation Speed Analysis(IPSA)in highway vehicular networks are discussed.The path formation from source vehicle to destination vehicle based on different criteria are considered. The results  are analyzed using MATLAB

Implementation of CAVENET and its usage for performance evaluation of AODV, OLSR and DYMO protocols in vehicular networks

Vehicle Ad-hoc Network (VANET) is a kind of Mobile Ad-hoc Network (MANET) that establishes wireless connection between cars. In VANETs and MANETs, the topology of the network changes very often, therefore implementation of efficient routing protocols is very important problem. In MANETs, the Random Waypoint (RW) model is used as a simulation model for generating node mobility pattern. On the other hand, in VANETs, the mobility patterns of nodes is restricted along the roads, and is affected by the movement of neighbour nodes. In this paper, we present a simulation system for VANET called CAVENET (Cellular Automaton based VEhicular NETwork). In CAVENET, the mobility patterns of nodes are generated by an 1-dimensional cellular automata. We improved CAVENET and implemented some routing protocols. We investigated the performance of the implemented routing protocols by CAVENET. The simulation results have shown that DYMO protocol has better performance than AODV and OLSR protocols.Peer ReviewedPostprint (published version

A Qos Adaptive Routing Scheme (IGLAR) For Highly Dynamic Vehicular Networks with Support to Service and Priority

This paper proposes an improved geolocation based QoS aware routing algorithm (IGLAR), which focuses on identifying optimal paths for effective routing in highly dynamic mobile ad hoc network such as VANET based on vehicular traffic at cross roads over a static high way lane. The process of selection and utilizing the optimal QoS route gets updated on transmission. IGLAR works on route identification, route binding, update and deletion process based on the validation of adaptive QoS metrics, before the optimal route selection process between source and destination. This research work discusses on the survey and analysis the performance of GPSR [9], AODV [8], DYMO [12] and proposed scheme based on simulation test beds and scenario mapping using VanetMobiSim with NS-3 simulator. The proposed routing scheme IGLAR has been designed and implemented as per the DSRC specifications [13] and IEEE 802.11p MAC. Keywords: VANET, GPSR, AODV, DYMO, VanetMobisi

Improvement and performance evaluation of CAVENET: a network simulation tool for vehicular networks

Vehicle Ad-hoc Network (VANET) is a kind of Mobile Ad-hoc Network (MANET) that establishes wireless connection between cars. In VANETs and MANETs, the topology of the network changes very often, therefore implementation of efficient routing protocols is very important problem. In MANETs, the Random Waypoint (RW) model is used as a simulation model for generating node mobility pattern. On the other hand, in VANETs, the mobility patterns of nodes is restricted along the roads, and is affected by the movement of neighbour nodes. In this paper, we present a simulation system for VANET called CAVENET (Cellular Automaton based Vehicular NETwork). In CAVENET, the mobility patterns of nodes are generated by an 1-dimensional cellular automata. We improved CAVENET and implemented some routing protocols. We investigated the performance of the implemented routing protocols by CAVENET. The simulation results have shown that DYMO protocol has better performance than AODV and OLSR protocols.Peer ReviewedPostprint (published version

UAV-Assisted Reactive Routing for Urban VANETs

International audienceVehicular ad hoc networks (VANETs) are characterized by frequent path failures due to the high mobility caused by the sudden changes of vehicles direction. The routing paths between two different vehicles should be established with this challenge in mind. It must be stable and well connected in order to guarantee a reliable and safe delivery of packets. The aim of this work is to present a new reactive routing technique providing effective and well-regulated communication paths. These discovered paths are created based on a robust flooding discovery process involving UAVs (Un-manned Aerial Vehicles) to ensure the connectivity when the network is sparsely connected. The evaluation of this technique is performed using NS-2 simulator and its performances are compared with on-demand protocols dedicated for VANET. Simulation results show clearly that our approach gives interesting outcomes ensuring a high delivery ratio with a minimum delay. This hybrid communication between the vehicles and UAVs is attractive to initiate more smart connected nodes in the near future

A Novel Cross-layer Communication Protocol for Vehicular Sensor Networks

Communication protocols in Vehicular Sensor Networks (VSNs) in urban areas play an important role in intelligent transport systems applications. Many cross layer communication protocols studies are originated from topology-based algorithms, which is not suitable for the frequently-changing computational scenario. In addition, the influence factors that have been considered for VSNs routing are not enough. With these aspects in mind, this paper proposes a multi-factor cross layer position-based routing (MCLPR) protocol for VSNs to improve reliability and efficiency in message delivery. Considering the complex intersection environment, the algorithm for vehicles selection at intersections (called AVSI) is further proposed, in which comprehensive factors are taken into account including the position and direction of vehicle, the vehicle density, the signal-to-noise-plus-interference ratio (SNIR), as well as the frame error rate (FER) in MAC layer. Meanwhile, the dynamic HELLO STREAM broadcasting system with the various vehicle speeds is proposed to increase the decisions accuracy. Experimental results in Network Simulator 3 (NS-3) show the advantage of MCLPR protocol over traditional state-of the-art algorithms in terms of packet delivery ratio (PDR), overhead and the mean end-to-end delay