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A Probabilistic Method for Cooperative Hierarchical Aggregation of Data in VANETs

Author(s): Christian Lochert, Björn Scheuermann, Martin Mauve.
Title: A Probabilistic Method for Cooperative Hierarchical Aggregation of Data in VANETs
Published: Elsevier Ad Hoc Networks 8 (5), pp. 518-530, July 2010
Abstract: We propose an algorithm for the hierarchical aggregation of observations in dissemination-based,distributed traffic information systems. Instead of transmitting observed parameters directly,we propose soft-state sketches - an extension of Flajolet-Martin sketches - as a probabilisticapproximation. This data representation is duplicate insensitive, a traitthat overcomes two central problems of existing aggregation schemes for VANET applications.First, when multiple aggregates of observations for the same area are available, it ispossible to combine them into an aggregate containing all information from the originalaggregates. This is fundamentally different from existing approaches where typically oneof the aggregates is selected for further use while the rest is discarded. Second, any observationor aggregate can be included into higher-level aggregates, regardless if it has alreadybeen previously - directly or indirectly - added. Those characteristics result in a very flexibleaggregate construction and a high quality of the aggregates. We demonstrate thesetraits of our approach by a simulation study.
DOI: 10.1016/j.adhoc.2009.12.008
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