The recent increase in the number of sensors within cars has resulted in various fragmented software stacks and development frameworks. In this ecosystem, applications have to make sense of raw sensor data themselves. As a remedial solution, we present Open-VSeSeMe, a middleware atop TinyOS that converts raw sensor streams into data units with semantic meaning. These data units can be shared between applications leading to efficient use of resources. In addition, we argue that the use of a common software stack leads to hardware standardization and opens up the platform to third-party developers, making a Car App Store possible. Furthermore, the entire architecture is event-driven which frees the applications from the clutches of constant polling. Finally, using a number of illustrative examples we show the utility and usefulness of Open-VSeSeMe.
Open-VSeSeMe: A Middleware for Efficient Vehicular Sensor Processing
Nets4Cars/Nets4Trains, International Workshop on Communication Technologies for Vehicles, 5 ; 185-196
2013
12 Seiten
Conference paper
English
Open-VSeSeMe: A Middleware for Efficient Vehicular Sensor Processing
British Library Conference Proceedings | 2013
|Open-VSeSeMe: A Middleware for Efficient Vehicular Sensor Processing
Springer Verlag | 2013
|Context-Aware Middleware for Vehicular Applications
Tema Archive | 2012
|Context-Aware Middleware for Vehicular Applications
Springer Verlag | 2012
|