Context-Aware Protocol Adaptation
Vehicular safety applications demand low latency and high reliability, while non-safety applications demand high throughput, in channel conditions that vary rapidly due to fading and mobility.
The key insight we make is that, in vehicular networks, each node already possesses context information about the environment, in the form of the location and speed of itself and its neighbors. This context information is a direct, predictable and real-time indicator of the link quality and can be used to perform fast protocol adaptation at the vehicular link layer.
Context-aware Rate Selection (CARS) for Vehicular Networks: We propose a novel rate adaptation algorithm that uses the context information about the environment available in each node (speed, distance from neighboring car, etc.) to select the optimal transmission rate.
CARS: Context-Aware Rate Selection for Vehicular Networks.
in the Proceedings of the 16th IEEE International Conference on Network Protocols (ICNP), October 2008.
Context-aware Opportunistic Scheduling for Vehicular Networks: In 802.11, a performance anomaly has been known to exist, due to which, the node with the lowest transmission rate reduces the eective transmission rate of all other nodes. We propose a distributed opportunistic packet scheduling algorithm for multi-user vehicular networks, which maximizes network throughput by picking the on-peak user for data transmission at each moment. The nodes determine the on-peak user using cross-layer information from the application layer, in the form of node location from a GPS device, and neighbor locations using a neighbor discovery protocol.
Context-Aware Opportunistic Scheduling for Vehicular Networks.