Abstract
Vehicular communication environments are characterized by highly mobile nodes, frequent topology changes, and a great variation in the number of neighbor vehicles. The network layer (NL) protocols must adapt continuously to these unreliable conditions, hence the growing effort in the development of protocols specific to vehicular networks. The aim of this work is to help create vehicular systems with an adaptive network layer, by means of proposing a middleware based on an adaptation model and using as input the context information of the vehicle. The architecture will build an adaptive network layer using two types of run-time adaptations: modification of NL protocol internal parameters and adaptations where a selection between NL protocols must be made. To assess the feasibility of our approach, we present two case study examples and present a first prototype. In addition, we briefly evaluate the adaptation presented in case study 1 via simulation, and we found that it produces 20% less control overhead. Furthermore, we present an analysis of the prototype performance to get a rough idea on the cost of using the middleware in the vehicular system; results show that it is feasible to implement the middleware in hardware similar to today's midrange smartphones.
Highlights
Intelligent Transportation System (ITS)1 aim to bring significant improvement in transportation system performance, including reduced congestion, increased safety and traveler convenience
The first case study is about extending an existing Mobile Ad Hoc Networks (MANETs) Network layer (NL) protocol to be more dynamic by adapting it based on local context, making it better suited to be used in Vehicular Ad Hoc Networks (VANET)
In the second case study we propose to implement a conceptual scenario with our architecture, where a selection or switch must be made between two NL protocols
Summary
Intelligent Transportation System (ITS) aim to bring significant improvement in transportation system performance, including reduced congestion, increased safety and traveler convenience. We think that having a vehicular system that supports most of these potential applications will help promote the adoption of a real world VANET technology by offering a wealth of services that encourages the driver to go premium and get the on-board system in their new vehicle or mitigate the investment of buying and installing the on-board module in their current vehicle For this to work, each application’s underlying NL protocol must maintain a good performance in spite of the changing network or even applications conditions. That is why the focus of the present work is to propose a middleware architecture to help create vehicular systems with an adaptive Network layer This architecture is a generic approach as it will build a subset of adaptive NL protocols found in the literature, and because the architecture must be instantiated by adding the modules to provide the context information, the NL protocols and vehicular applications required to build the desired vehicular system.
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