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This paper presents a novel structure-free data aggregation framework designed for Vehicular Ad Hoc Networks (VANETs). Unlike traditional approaches that rely on fixed hierarchies or road segmentations, our framework leverages fuzzy reasoning to make dynamic aggregation decisions. By eliminating the need for pre-defined structures, we address the challenges posed by the high mobility of vehicles and the need for accurate, real-time information regarding road conditions. We provide simulation results demonstrating the effectiveness and efficiency of our approach in supporting applications like traffic congestion detection.
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A Structure-free Aggregation Framework for Vehicular Ad Hoc Networks Stefan Dietzel, ElmarSchoch, BotoBako, Frank Kargl
Outline • Introduction and Contribution • Motivation • Fuzzy Reasoning System • System Architecture • Simulation Results
Introduction and Contribution • Data Aggregation in VANET • The challenge of aggregation lies in the proper decision if two single data items should be aggregated or not. • Contribution It is not necessary to define aggregate structures such as hierarchical grids or fixed road segments or to establish a processing structure like a hierarchy or a group of nodes.
Motivation: DA in WSN not suitable • In a highly dynamic network like VANETs, building such hierarchies is not feasible or would at least result in high communication overhead. • VANET applications like collaborative detection and dissemination of traffic congestions require periodic status information over road conditions in order to work properly. • Drawbacks of pre-defined aggregation structure: This requires that vehicles have a common knowledge about the road network and its segmentation which is problematic regarding the variety of VANET applications.
A reduction of the information accuracy with increasing distance is not always an appropriate solution.
