DocumentCode :
1712258
Title :
Movement Prediction-Based Routing (MOPR) Concept for Position-Based Routing in Vehicular Networks
Author :
Menouar, Hamid ; Lenardi, Massimiliano ; Filali, Fethi
Author_Institution :
HITACHI Eur. SAS, Sophia Antipolis
fYear :
2007
Firstpage :
2101
Lastpage :
2105
Abstract :
Nowadays, researchers show more and more interests to vehicular ad hoc networks (VANETs), which are a specific instance of mobile ad hoc networks (MANETs) where nodes are vehicles. In VANETs, vehicles have no energy resource constraint which could extend coverage and network lifetime, but have a high mobility patterns that cause frequent and fast topology changes. Consequently, VANETs have particular research interests, like dedicated MAC and routing optimization. In our previous work, we have proposed movement prediction-based routing (MOPR) concept for VANETs, which improves the routing process by selecting the most stable route in terms of lifetime with respect to the movement of vehicles. And in this paper, we present how this MOPR concept can be applied to position-based routing protocols, and how it improves their performances. Based on simulation results we compare MOPR with the position-based routing protocol GPSR and another movement-based routing protocol called MORA.
Keywords :
ad hoc networks; mobile communication; routing protocols; GPSR; MANET; MORA; VANET; mobile ad hoc networks; movement prediction-based routing; movement-based routing protocol; position-based routing protocols; vehicular ad hoc networks; vehicular networks; Ad hoc networks; Energy resources; Europe; Mobile ad hoc networks; Network topology; Routing protocols; Synthetic aperture sonar; Unicast; Vehicle driving; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2007. VTC-2007 Fall. 2007 IEEE 66th
Conference_Location :
Baltimore, MD
ISSN :
1090-3038
Print_ISBN :
978-1-4244-0263-2
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VETECF.2007.441
Filename :
4350090
Link To Document :
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