Joint UAVs Position Optimization and Offloading Decision for Blockchain-enabled Intelligent Transportation
Chen Wang, Daosen Zhai, Ruonan Zhang, Huan Li, Haotong Cao, Anish Jindal · IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · 2022
With the assistance of the fifth generation (5G) and the internet of things (IoT), intelligent transportation systems (ITS) have great potential and capacity to make transportation systems efficient. To well assist the ITSs, advanced network architecture and reasonable offloading decision should be specially designed while ensuring data security. In this paper, we consider a blockchain-enabled intelligent transportation uplink scenario, which can collect and encrypt the aggregated data from smart vehicles (SVs) with blockchain. Considering the coupling of unmanned aerial vehicles (UAVs) position and offloading decision, we formulate a joint UAVs position optimization and data offloading decision problem in order to reduce the total time and energy consumption of data processing. We first divide UAVs into two categories and form neighborhood UAVs according to their data load. Then, we adapt the non-dominated sorting genetic algorithm II (NSGA-II) iteratively. Simulation results indicate that the algorithm can reduce energy consumption while ensuring the required time and achieving a good balance.