Loading [MathJax]/extensions/MathMenu.js
A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue | IEEE Journals & Magazine | IEEE Xplore

A Secure and Intelligent Data Sharing Scheme for UAV-Assisted Disaster Rescue


Abstract:

Unmanned aerial vehicles (UAVs) have the potential to establish flexible and reliable emergency networks in disaster sites when terrestrial communication infrastructures ...Show More

Abstract:

Unmanned aerial vehicles (UAVs) have the potential to establish flexible and reliable emergency networks in disaster sites when terrestrial communication infrastructures go down. Nevertheless, potential security threats may occur on UAVs during data transmissions due to the untrusted environment and open-access UAV networks. Moreover, UAVs typically have limited battery and computation capacity, making them unaffordable for heavy security provisioning operations when performing complicated rescue tasks. In this paper, we develop RescueChain, a secure and efficient information sharing scheme for UAV-assisted disaster rescue. Specifically, we first implement a lightweight blockchain-based framework to safeguard data sharing under disasters and immutably trace misbehaving entities. A reputation-based consensus protocol is devised to adapt the weakly connected environment with improved consensus efficiency and promoted UAVs’ honest behaviors. Furthermore, we introduce a novel vehicular fog computing (VFC)-based off-chain mechanism by leveraging ground vehicles as moving fog nodes to offload UAVs’ heavy data processing and storage tasks. To offload computational tasks from the UAVs to ground vehicles with idle computing resources, an optimal allocation strategy is developed by choosing payoffs that achieve equilibrium in a Stackelberg game formulation of the allocation problem. For lack of sufficient knowledge on network model parameters and users’ private cost parameters in practical environment, we also design a two-tier deep reinforcement learning-based algorithm to seek the optimal payment and resource strategies of UAVs and vehicles with improved learning efficiency. Simulation results show that RescueChain can effectively accelerate consensus process, improve offloading efficiency, reduce energy consumption, and enhance user payoffs.
Published in: IEEE/ACM Transactions on Networking ( Volume: 31, Issue: 6, December 2023)
Page(s): 2422 - 2438
Date of Publication: 20 April 2023

ISSN Information:

Funding Agency:


I. Introduction

Natural disasters, such as earthquakes, bushfires, floods, often inflict devastating losses in lives and property [1], [2], [3]. In disaster areas, reliable and resilient emergency communications are pivotal for quick damage assessment and effective disaster rescue [4]. However, owing to the destruction or inefficiency of terrestrial network infrastructures (e.g., Wi-Fi access points and cellular base stations), unmanned aerial vehicles (UAVs) based communication approach may be the only plausible solution in such situations so far due to their fast deployment and flexible mobility [5], [6], [7]. UAVs can not only be dispatched and deployed quickly to establish the emergency communication infrastructure on the air, but also help information dissemination (e.g., rescue commands, maps of affected areas, and survivors’ locations) in disaster relief networks [8], [9], [10].

Contact IEEE to Subscribe

References

References is not available for this document.