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

Fingerprint

Middleware
Sensor
Sensors
Railroad cars
Processing
Polling
Unit
Software
Clutches
Event-driven
Standardization
Ecosystem
Application programs
Ecosystems
Convert
Semantics
Hardware
Entire
Resources

Cite this

Nabi, Z., Alvi, A., Allen, G., Greaves, D., & Mehmood, R. (2013). Open-VSeSeMe: A middleware for efficient vehicular sensor processing. In Communication Technologies for Vehicles - 5th International Workshop, Nets4Cars/Nets4Trains 2013, Proceedings (Vol. 7865 LNCS, pp. 185-196). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7865 LNCS). https://doi.org/10.1007/978-3-642-37974-1_15
Nabi, Zubair ; Alvi, Atif ; Allen, Gary ; Greaves, David ; Mehmood, Rashid. / Open-VSeSeMe : A middleware for efficient vehicular sensor processing. Communication Technologies for Vehicles - 5th International Workshop, Nets4Cars/Nets4Trains 2013, Proceedings. Vol. 7865 LNCS 2013. pp. 185-196 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{eac10b0a627c4a0d9a90b8d2e34351b3,
title = "Open-VSeSeMe: A middleware for efficient vehicular sensor processing",
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.",
keywords = "automotive standardization, car safety systems, contextual data, In-car sensors, sensor stream-processing, vehicular telemetry",
author = "Zubair Nabi and Atif Alvi and Gary Allen and David Greaves and Rashid Mehmood",
year = "2013",
doi = "10.1007/978-3-642-37974-1_15",
language = "English",
isbn = "9783642379734",
volume = "7865 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "185--196",
booktitle = "Communication Technologies for Vehicles - 5th International Workshop, Nets4Cars/Nets4Trains 2013, Proceedings",

}

Nabi, Z, Alvi, A, Allen, G, Greaves, D & Mehmood, R 2013, Open-VSeSeMe: A middleware for efficient vehicular sensor processing. in Communication Technologies for Vehicles - 5th International Workshop, Nets4Cars/Nets4Trains 2013, Proceedings. vol. 7865 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7865 LNCS, pp. 185-196, 5th International Workshop on Communication Technologies for Vehicles, Villeneuve d'Ascq, France, 14/05/13. https://doi.org/10.1007/978-3-642-37974-1_15

Open-VSeSeMe : A middleware for efficient vehicular sensor processing. / Nabi, Zubair; Alvi, Atif; Allen, Gary; Greaves, David; Mehmood, Rashid.

Communication Technologies for Vehicles - 5th International Workshop, Nets4Cars/Nets4Trains 2013, Proceedings. Vol. 7865 LNCS 2013. p. 185-196 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7865 LNCS).

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

TY - GEN

T1 - Open-VSeSeMe

T2 - A middleware for efficient vehicular sensor processing

AU - Nabi, Zubair

AU - Alvi, Atif

AU - Allen, Gary

AU - Greaves, David

AU - Mehmood, Rashid

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - automotive standardization

KW - car safety systems

KW - contextual data

KW - In-car sensors

KW - sensor stream-processing

KW - vehicular telemetry

UR - http://www.scopus.com/inward/record.url?scp=84883384354&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-37974-1_15

DO - 10.1007/978-3-642-37974-1_15

M3 - Conference contribution

SN - 9783642379734

VL - 7865 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 185

EP - 196

BT - Communication Technologies for Vehicles - 5th International Workshop, Nets4Cars/Nets4Trains 2013, Proceedings

ER -

Nabi Z, Alvi A, Allen G, Greaves D, Mehmood R. Open-VSeSeMe: A middleware for efficient vehicular sensor processing. In Communication Technologies for Vehicles - 5th International Workshop, Nets4Cars/Nets4Trains 2013, Proceedings. Vol. 7865 LNCS. 2013. p. 185-196. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-37974-1_15