Detecting and correcting malicious data in VANETs
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Towards an optimized and secure cascade for data aggregation in vanets
Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
Data aggregation based on fuzzy logic for VANETs
CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems
Location based information storage and dissemination in vehicular ad hoc networks
ADBIS'09 Proceedings of the 13th East European conference on Advances in Databases and Information Systems
Aggregation and probabilistic verification for data authentication in VANETs
Information Sciences: an International Journal
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Data aggregation is an important issue for vehicular ad-hoc networks (VANETs). Congestion notification applications are built to warn drivers of traffic slowdowns far enough in advance that the drivers may take alternate routes. Data that is broadcast should be self-contained and fit into a single MAC-layer frame. With dense traffic, aggregation is needed to represent a large number of vehicles in relatively small frame. We present a new technique for aggregating vehicles' data without losing accuracy. Vehicles build a local view based on speed and position reports from neighboring vehicles. This local view, representing vehicles up to 1.6 km ahead, is then aggregated into a single frame and broadcast. Vehicles use received aggregated frames to extend their views even farther.