Using Traffic Flow for Cluster Formation in Vehicular Ad-hoc Networks

Abstract—We present a lane-based clustering algorithm designed to provide stability in cluster lifetime for vehicular adhoc networks (VANETs) in urban scenarios. Stable clustering methods reduce the overhead of re-clustering and lead to an efficient hierarchical network topology. During the creation of VANET clusters, cluster members select one member to be the clusterhead. Fewer clusterhead changes result in a more stable cluster. To achieve this goal, cluster members must select a member that has the potential to be a clusterhead longer than other cluster members. Our method aims to select a clusterhead based on the lane where most of the traffic will flow. I

Peer-to-Peer File Sharing in VANETs Using TC-MAC

Abstract—Vehicular Ad Hoc Networks (VANETs) are a form of Mobile Ad Hoc Networks (MANETs) in which vehicles on the road form the nodes of the network. VANETs provide several services to enhance the safety and comfort drivers and passengers. One of the services that VANETs can provide is file sharing between vehicles. Sharing large scale files through the network is a challenging task. Therefore, developing an efficient peer-to-peer (P2P) file sharing scheme is important. This paper presents a P2P file sharing scheme for VANETs using TC-MAC, a MAC algorithm for vehicular ad-hoc networks using Time-Division Multiple Access (TDMA) slot reservation based on clustering of vehicles. Using TDMA will reduce collisions and packet drops in the channel, as well as provide fairness in sharing the wireless medium and minimizing the effect of hidden terminals. Our work aims to develop a P2P file sharing algorithm to improve the file downloading time between neighbouring vehicles