AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing
Zhiwei Wei, Chenran Huang, Bing Li, Yiting Zhao, Xiang Cheng, Liuqing, Yang, Rongqing Zhang

TL;DR
AirFogSim is a lightweight, modular simulation platform designed to model UAV-integrated vehicular fog computing, enabling researchers to explore complex aerial-ground cooperative networks and validate various operational scenarios.
Contribution
This paper introduces AirFogSim, a novel versatile simulation tool specifically designed for UAV-integrated vehicular fog computing, addressing the lack of comprehensive simulation platforms in this domain.
Findings
Successfully modeled UAV trajectory, task offloading, resource allocation, and blockchain integration.
Validated AirFogSim's effectiveness through multiple key missions and use cases.
Provides a flexible platform to bridge theoretical design and practical validation in UAV-VFC.
Abstract
Vehicular Fog Computing (VFC) is significantly enhancing the efficiency, safety, and computational capabilities of Intelligent Transportation Systems (ITS), and the integration of Unmanned Aerial Vehicles (UAVs) further elevates these advantages by incorporating flexible and auxiliary services. This evolving UAV-integrated VFC paradigm opens new doors while presenting unique complexities within the cooperative computation framework. Foremost among the challenges, modeling the intricate dynamics of aerial-ground interactive computing networks is a significant endeavor, and the absence of a comprehensive and flexible simulation platform may impede the exploration of this field. Inspired by the pressing need for a versatile tool, this paper provides a lightweight and modular aerial-ground collaborative simulation platform, termed AirFogSim. We present the design and implementation of…
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Taxonomy
TopicsIoT and Edge/Fog Computing · UAV Applications and Optimization · Video Surveillance and Tracking Methods
