DocumentCode :
631690
Title :
Token-based Clustered Data Gathering Protocol(TCDGP) in vehicular networks
Author :
Brik, Bouziane ; Lagraa, Nasreddine ; Cherroun, Hadda ; Lakas, Abderrahmane
Author_Institution :
Lab. d´Inf. et de Math., Univ. of Laghouat, Laghouat, Algeria
fYear :
2013
fDate :
1-5 July 2013
Firstpage :
1070
Lastpage :
1074
Abstract :
By adopting different detection technologies, vehicles in Vehicular Ad-hoc Networks (VANets) are able to collect various kinds of information, like road traffic and environmental information, then, to transmit them to interested entities. Data collection in VANets is considered as an interesting application which aims at providing a safer, more efficient and more comfortable driving. In a previous study [8] we have proposed a Robust Clustered Data Gathering Protocol (CDGP), by using a Dynamic Space Division Multiple Access (D-SDMA) technique with a retransmission mechanism. However, CDGP provides a low collection efficiency given the large number of unused slots, which are wasted in a vehicle-to-vehicle communication (V2V). In this paper, we propose a new data collection protocol, which improves the data collection efficiency by using an enhanced Dynamic SDMA technique. Through simulation results we show that our new protocol enhances data collection efficiency and provides a reliable data collection.
Keywords :
space division multiple access; vehicular ad hoc networks; D-SDMA; VANet; data collection protocol; dynamic space division multiple access; environmental information; road traffic; token-based clustered data gathering protocol; vehicle-to-vehicle communication; vehicular ad-hoc networks; vehicular networks; Data collection; Multiaccess communication; Protocols; Reliability; Road transportation; Vehicle dynamics; Vehicles; CDGP; D-SDMA; Data collection; TCDGP; TD-SDMA; VANET;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International
Conference_Location :
Sardinia
Print_ISBN :
978-1-4673-2479-3
Type :
conf
DOI :
10.1109/IWCMC.2013.6583705
Filename :
6583705
Link To Document :
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