摘要
Recently,Internet of Things(IoT)have been applied widely and improved the quality of the daily life.However,the lightweight IoT devices can hardly implement complicated applications since they usually have limited computing resource and just can execute some simple computation tasks.Moreover,data transmission and interaction in IoT is another crucial issue when the IoT devices are deployed at remote areas without manual operation.Mobile edge computing(MEC)and unmanned aerial vehicle(UAV)provide significant solutions to these problems.In addition,in order to ensure the security and privacy of data,blockchain has been attracted great attention from both academia and industry.Therefore,an UAV-assisted IoT system integrated with MEC and blockchain is pro-posed.The optimization problem in the proposed architecture is formulated to achieve the optimal trade-off between energy consumption and computation latency through jointly considering computa-tion offloading decision,spectrum resource allocation and computing resource allocation.Consider-ing this complicated optimization problem,the non-convex mixed integer problem can be transformed into a convex problem,and a distributed algorithm based on alternating direction multiplier method(ADMM)is proposed.Simulation results demonstrate the validity of this scheme.
作者
ZHAO Chengze
LI Meng
SUN Enchang
HUO Ru
LI Yu
ZHANG Yanhua
赵铖泽;LI Meng;SUN Enchang;HUO Ru;LI Yu;ZHANG Yanhua(Faculty of Information Technology,Beijing University of Technology,Beijing 100124,P.R.China;Beijing Laboratory of Advanced Information Networks,Beijing 100124,P.R.Chna;Chongqing Key Laboratory of Intelligence Perception and Blockchain Technology,Chongqing Technology and Business University,Chongqing 400067,P.R.China)
基金
Supported by the National Natural Science Foundation of China(No.61901011,61901067)
the Foundation of Beijing Municipal Commission of Education(No.KM202110005021,KM202010005017)
the Beijing Natural Science Foundation(No.L211002).
