Joint Task Offloading, Resource Allocation, and Security Assurance for Mobile Edge Computing-Enabled UAV-Assisted VANETs

Abstract

In this paper, we propose a mobile edge computing (MEC)-enabled unmanned aerial vehicle (UAV)-assisted vehicular ad hoc network (VANET) architecture, based on which a number of vehicles are served by UAVs equipped with computation resource. Each vehicle has to offload its computing tasks to the proper MEC server on the UAV due to the limited computation ability. To counter the problems above, we first model and analyze the transmission model and the security assurance model from the vehicle to the MEC server on UAV, and the task computation model of the local vehicle and the edge UAV. Then, the vehicle offloading problem is formulated as a multi-objective optimization problem by jointly considering the task offloading, the resource allocation, and the security assurance. For tackling this hard problem, we decouple the multi-objective optimization problem as two subproblems and propose an efficient iterative algorithm to jointly make the MEC selection decision based on the criteria of load balancing and optimize the offloading ratio and the computation resource according to the Lagrangian dual decomposition. Finally, the simulation results demonstrate that our proposed scheme achieves significant performance superiority compared with other schemes in terms of the successful task processing ratio and the task processing delay.

ESCOVE: Energy-SLA-Aware Edge–Cloud Computation Offloading in Vehicular Networks

“…If j is outside the range of k, then the algorithm will determine the value of h, such that the vehicle will be in the range of RSU k + h while receiving the response. The value of h is computed using Equation (27).…”

“…The value for RSU transmission power for the MEES algorithm is based on the literature [10]. The latency requirement [26] and the processing time and deadline requirements [27] for the request are based on the literature.…”

A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs

“…Such limited resources raise privacy concerns, a major issue that has prevented the widespread spread of RFID technology. Researchers have implemented multiple researches on designing privacy protection methods for RFID systems [34][35][36][37][38]. Liu et al in [34] proposed a grouping proof authentication protocol for RFID systems, which could improve authentication security.…”

“…In addition, the authors in [36,37] proposed a novel authentication protocol that could offer an adequate security level. In [38], Fan et al designed a lightweight RFID privacy protection scheme, which could ensure the privacy of collected data.…”

Passive Beamforming and Trajectory Optimization for Reconfigurable Intelligent Surface-Assisted UAV Secure Communication

“…Adjusting the phase shift of all components together and utilizing the coherence of electromagnetic waves, the signals from different transmission paths will be aligned at the desired receiver to improve the achievable rate and energy efficiency. Combining the advantages of UAV and RIS can greatly improve the UAV's energy efficiency [13][14][15]. Moreover, the RIS is easy to implement, since the hardware cost of RIS is lower and there is no signal forwarding equipment.…”