Open-VSeSeMe: A middleware for efficient vehicular sensor processing

Zubair Nabi, Atif Alvi, Gary Allen, David Greaves, Rashid Mehmood

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCommunication Technologies for Vehicles - 5th International Workshop, Nets4Cars/Nets4Trains 2013, Proceedings
Pages185-196
Number of pages12
Volume7865 LNCS
DOIs
Publication statusPublished - 2013
Event5th International Workshop on Communication Technologies for Vehicles - Villeneuve d'Ascq, France
Duration: 14 May 201315 May 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7865 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference5th International Workshop on Communication Technologies for Vehicles
Abbreviated titleNets4Cars/Nets4Trains 2013
CountryFrance
CityVilleneuve d'Ascq
Period14/05/1315/05/13

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