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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

Inspired by the pressing need for a versatile tool, this paper provides a lightweight and modular aerial-ground collaborative simulation platform, termed AirFogSim, and presents the design and implementation, and demonstrates its versatility with five key missions in the domain of UAV-integrated 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 AirFogSim, and demonstrate its versatility with five key missions in the domain of UAV-integrated VFC. A multifaceted use case is carried out to validate AirFogSim's effectiveness, encompassing several integral aspects of the proposed AirFogSim, including UAV trajectory, task offloading, resource allocation, and blockchain. In general, AirFogSim is envisioned to set a new precedent in the UAV-integrated VFC simulation, bridge the gap between theoretical design and practical validation, and pave the way for future intelligent transportation domains. Our code will be available at https://github.com/ZhiweiWei-NAMI/AirFogSim.

AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing

TL;DR

Inspired by the pressing need for a versatile tool, this paper provides a lightweight and modular aerial-ground collaborative simulation platform, termed AirFogSim, and presents the design and implementation, and demonstrates its versatility with five key missions in the domain of UAV-integrated 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 AirFogSim, and demonstrate its versatility with five key missions in the domain of UAV-integrated VFC. A multifaceted use case is carried out to validate AirFogSim's effectiveness, encompassing several integral aspects of the proposed AirFogSim, including UAV trajectory, task offloading, resource allocation, and blockchain. In general, AirFogSim is envisioned to set a new precedent in the UAV-integrated VFC simulation, bridge the gap between theoretical design and practical validation, and pave the way for future intelligent transportation domains. Our code will be available at https://github.com/ZhiweiWei-NAMI/AirFogSim.
Paper Structure (43 sections, 9 equations, 8 figures, 3 tables, 1 algorithm)

This paper contains 43 sections, 9 equations, 8 figures, 3 tables, 1 algorithm.

Table of Contents

  1. Introduction
  2. Background and Related Work
  3. Background: UAV-Integrated VFC Architecture
  4. UAV-Integrated Vehicular Fog Computing Missions
  5. Existing Simulation Platforms
  6. System Architecture and Module
  7. Traffic Front-End
  8. Fog Node Network
  9. Environment Scheduler
  10. Algorithm Application
  11. Supported Missions in AirFogSim
  12. RSU/ABS Deployment
  13. UAV Trajectory Planning
  14. V2X Task Offloading
  15. Security and Privacy
  16. ...and 28 more sections

Figures (8)

  • Figure 1: The UAV-integrated vehicular fog computing paradigm.
  • Figure 2: The system modules of the AirFogSim platform.
  • Figure 3: Key missions supported by AirFogSim, including RSU/ABS deployment, UAV trajectory planning, V2X task offloading, security and privacy, resource allocation, etc. in the UAV-integrated VFC paradigm.
  • Figure 4: Several designed classes in the AirFogSim platform.
  • Figure 5: Simulation environment conducted by AirFogSim. (a) graphical visualization with active wireless links and (b) tabular visualization of the simulation environment.
  • ...and 3 more figures