PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc Networks
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...
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Online Access: | https://doi.org/10.1155/2013/415297 |
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doaj-bdfd8a330e514ad99d887e08a4643a3b2020-11-25T03:10:04ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-07-01910.1155/2013/415297PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc NetworksCarlos F. Caloca0J. Antonio García-Macías1Thierry Delot2 LAMIH UMR CNRS 8201, University of Valenciennes et Haute Cambresis, Le Mont Houy, 59313 Valenciennes, France Department of Computer Science, CICESE Research Center, Carretera Ensenada-Tijuana, No. 3918 Zona Playitas, 22860 Ensenada, BC, Mexico LAMIH UMR CNRS 8201, University of Valenciennes et Haute Cambresis, Le Mont Houy, 59313 Valenciennes, FranceVehicular 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.https://doi.org/10.1155/2013/415297 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carlos F. Caloca J. Antonio García-Macías Thierry Delot |
spellingShingle |
Carlos F. Caloca J. Antonio García-Macías Thierry Delot PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc Networks International Journal of Distributed Sensor Networks |
author_facet |
Carlos F. Caloca J. Antonio García-Macías Thierry Delot |
author_sort |
Carlos F. Caloca |
title |
PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc Networks |
title_short |
PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc Networks |
title_full |
PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc Networks |
title_fullStr |
PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc Networks |
title_full_unstemmed |
PLUGAM: Plug-In-Based Adaptation Middleware for Network Layer Protocols for Vehicular Ad Hoc Networks |
title_sort |
plugam: plug-in-based adaptation middleware for network layer protocols for vehicular ad hoc networks |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2013-07-01 |
description |
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. |
url |
https://doi.org/10.1155/2013/415297 |
work_keys_str_mv |
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1724660722189729792 |