Context-Adaptive Vehicular Network Optimization

International audienceWe propose a framework to optimize the communication performance and mobility management in vehicular networks. By having a single unified decision algorithm taking into account both stack-related and external contextual information such as GPS localization or signaling from other nodes, advice can be provided to every layer in the network stack to allow for globally optimized, faster and more accurate adaptation to the current conditions. We present how key example scenarios would benefit from such a system. We describe an instance of this framework using a constraint satisfaction problem (CSP) approach. We also describe our prototype implementation of the network data collection system and give some timing evaluation for a given constraint solver

Stronger interaction between link layer and network layer for an optimized mobility management in heterogeneous IPv6 networks

International audienceThe evolution of both Internet and cellular networks tends toward an IP mobility scheme for data and voice communication. Mobile IPv6 has the general purpose of managing mobility between IPv6 networks and it does not focus on optimizing heterogeneous interfaces usage. Yet, new handled devices usually come with more than one means of connecting to the network. We therefore propose the establishment of a strong interaction between link and network layers which would enable anticipation of both vertical and horizontal handover. We also present results from innovative scenarios for all of the mechanisms we propose