A distance routing effect algorithm for mobility (DREAM)
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A scalable location service for geographic ad hoc routing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Hierarchical location service for mobile ad-hoc networks
ACM SIGMOBILE Mobile Computing and Communications Review
A static-node assisted adaptive routing protocol in vehicular networks
Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks
Pervasive and Mobile Computing
ACAR: Adaptive Connectivity Aware Routing for Vehicular Ad Hoc Networks in City Scenarios
Mobile Networks and Applications
Spatial and traffic-aware routing (STAR) for vehicular systems
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
A survey on position-based routing in mobile ad hoc networks
IEEE Network: The Magazine of Global Internetworking
Journal of Systems Architecture: the EUROMICRO Journal
Hi-index | 0.00 |
Vehicular Ad hoc NETworks (VANETs), an emerging technology, would allow vehicles on roads to form a self-organized network without the aid of a permanent infrastructure. As a prerequisite to communication in VANETs, an efficient route between communicating nodes in the network must be established, and the routing protocol must adapt to the rapidly changing topology of vehicles in motion. This is one of the goals of VANET routing protocols. In this paper, we present an efficient routing protocol for VANETs, called the Reliable Inter-VEhicular Routing (RIVER) protocol. RIVER utilizes an undirected graph that represents the surrounding street layout where the vertices of the graph are points at which streets curve or intersect, and the graph edges represent the street segments between those vertices. Unlike existing protocols, RIVER performs real-time, active traffic monitoring and uses these data and other data gathered through passive mechanisms to assign a reliability rating to each street edge. The protocol then uses these reliability ratings to select the most reliable route. Control messages are used to identify a node's neighbors, determine the reliability of street edges, and to share street edge reliability information with other nodes.