Cross-layer cooperative routing for vehicular networks

Abstract

Vehicular Networks are more and more considerable recently. With the rapid advance of information technology, it becomes easy to support low cost inter-vehicle communication.In particular, the demand for delay sensitive applications, such as streaming media distribution, is increasing. However, due to the high mobility, links between roadside units and wireless nodes are intermittent, unreliable and inefficient. We propose cross-layer cooperative routing (CLCR) for vehicular networks to overcome the unreliability of the wireless channel and maximize the system throughput. Owing to different relay nodes may lead to different results. In this paper, we propose a mechanism to choose appropriate relay nodes in vehicular networks. Furthermore, we extend the lifetime of routing path to reduce the frequency of route rediscovering. Simulation results based on network simulator 2 (ns2) and mobility model generator for vehicular networks (MOVE) show the proposed CLCR has good performance.

Cooperative Vehicular Networking: A Survey

“…A cross-layer routing protocol for VANET with the objective of maximizing the throughput and overwhelming the wireless channel unreliability is discussed in [16]. The route discovery and management are performed by the AODV-like protocol.…”

“…Throughput maximization in CVN has been studied in various ways, such as designing a cooperative MAC [11]–[13], [69], [73], [85], cooperative routing [16], and cooperative link scheduling [19]. The optimization of transmission power allocation is another objective targeted by some of the research works [15], [86].…”

“…For instance, when a relay node is required to assist communication between transmitter and receiver, an exchange of extra control messages may be required for relay selection at the MAC layer [11]–[13]. In addition, routing protocols can further benefit from cooperation between the MAC and PHY layers in selecting a suitable path from source to destination [14]–[16]. Also, a great deal of research has been carried out with respect to power allocation [17], [18], link scheduling [19]–[22], and security [23]–[25].…”

Formulation of an Energy Efficient Routing Problem in Cooperative Wireless Sensor Networks

“…In helpful steering calculations proposed in [16], [17], the controller analyzes the measure of intensity utilization that can be spared on the off chance that every hub goes about as the transfer hub and, at that point chooses the agreeable hand-off hub. In Cooperative-Based Path calculations, for example, [22], the focal controller (e.g., the goal (or sink) hub in a remote sensor arrange) has full Knowledge of the area of each hub in the system and utilizations this data to choose the agreeable based way.…”

Safety Information Dissemination Path Prediction in High-Density Vehicular Wireless Networks

“…The quality of broadcast information in multi-hop domain depends on the stability of path and the efficiency of path resource. And warning information alerting a driver, communication delay must not exceed 200 ms [8]. However, the metrics, end-to-end delay and packets loss rate, often change in random according to the stochastic drive vehicle and the dynamical path resource.…”