Title :
Optimizing CASCADE data aggregation for VANETs
Author :
Ibrahim, Khaled ; Weigle, Michele C.
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA
fDate :
Sept. 29 2008-Oct. 2 2008
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;
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
DOI :
10.1109/MAHSS.2008.4660113
