MEC和区块链赋能无人机辅助的物联网资源优化

Empower MEC and Blockchain to Resource Optimization for UAV-assisted IoT

针对物联网设备部署在较偏远地区而导致的传输链路易受损或传输覆盖范围有限等问题,在此场景中引入无人机和移动边缘计算(mobile edge computing, MEC)技术,有效改善物联网设备能源供给,优化计算资源,同时提升通信覆盖范围,减少不必要的网络开销.另外,区块链技术的引入保证了数据计算卸载与交互过程中的安全性和可靠性,实现了数据共享.因此,面向无人机辅助的物联网系统提出一种融合MEC和区块链的资源分配决策方法,以实现MEC系统和区块链系统性能的最佳权衡为目标,综合考虑频谱资源和计算资源的分配,构建问题模型,并采用基于交替方向乘子(alternating direction method of multipliers, ADMM)法的分布式优化算法求解该优化问题.仿真结果表明,所提优化框架可以有效减少MEC系统的总能耗和区块链系统的计算时延.同时,所提方法具有良好的收敛性能,系统稳定性得到充分保证.

Facing the issues about the vulnerable transmission links or the limited transmission coverage caused by the deployment of Internet of things(IoT) devices in remote areas, unmanned aerial vehicle(UAV) and mobile edge computing(MEC) technology in this scenario was introduced to deal with the problems effectively such as the limitation of energy supply, the shortage of computing capacity, as well as improvement of communication coverage and reduction of unnecessary network overhead. In addition, the introduction of blockchain technology ensured the security and reliability in the process of data interaction, and accomplished data sharing. Therefore, a resource allocation decision method based on MEC and blockchain was proposed for UAV-assisted IoT system. To achieve the optimal trade-off between the performance of MEC system and blockchain system, a problem model was formulated by considering the allocation of spectrum resource and computing resource, then a distributed optimization method was adopted based on alternating direction method of multipliers(ADMM) to solve the problem. The simulation results demonstrate that the proposed optimization scheme can reduce the total energy consumption of MEC system and the computation latency of blockchain system effectively. Meanwhile, the proposed scheme has better convergence performance and the stability of the system can be well guaranteed.