DocumentCode
3231666
Title
Optimizing CASCADE data aggregation for VANETs
Author
Ibrahim, Khaled ; Weigle, Michele C.
Author_Institution
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA
fYear
2008
fDate
Sept. 29 2008-Oct. 2 2008
Firstpage
724
Lastpage
729
Abstract
We present an analysis of the CASCADE (cluster-based accurate syntactic compression of aggregated data in VANETs) data aggregation technique. CASCADE organizes known vehicles into clusters, the size of which determines both the frame size used to distribute aggregated data and the distance ahead that vehicles are aware of (local view). In this paper, we determine the optimal cluster size to balance the trade-off between local view length and expected frame size.
Keywords
ad hoc networks; data compression; mobile radio; CASCADE data aggregation; VANET; cluster size; cluster-based accurate syntactic compression of aggregated data; frame size; local view length; trade-off; Acceleration; Ad hoc networks; Aggregates; Broadcasting; Computer science; Proposals; Road accidents; Telecommunication traffic; Vehicles; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Ad Hoc and Sensor Systems, 2008. MASS 2008. 5th IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4244-2574-7
Electronic_ISBN
978-1-4244-2575-4
Type
conf
DOI
10.1109/MAHSS.2008.4660113
Filename
4660113
Link To Document