CASCADE: Cluster-based Accurate Syntactic Compression of Aggregated Data in VANETs
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چکیده
We present a method for accurate aggregation of highway traffic information in vehicular ad hoc networks (VANETs). Highway congestion notification applications need to disseminate information about traffic conditions to distant vehicles. In dense traffic, aggregation is needed to allow a single frame to carry information about a large number of vehicles. Our technique, CASCADE (Clusterbased Accurate Syntactic Compression of Aggregated Data in VANETs), uses compression to provide aggregation without losing accuracy. As a part of CASCADE, we present probabilistic Inter-Vehicle Geocast, allowing the rebroadcasting of frames to depend upon the surrounding vehicle density. We show that the frame reception rate is improved with this modification. CASCADE provides each vehicle with data that is highly accurate, represents a large area in front of the vehicle, and can be combined with aggregated data from other vehicles to further extend the covered area.
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