TY - JOUR
T1 - Blockchain-Secured Data Collection for UAV-Assisted IoT
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
AU - Lan, Xunqiang
AU - Tang, Xiao
AU - Zhai, Daosen
AU - Wang, Dawei
AU - Han, Zhu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Internet of Things (IoT) can be conveniently de-ployed while empowering various applications, where the IoT nodes can form clusters to finish certain missions collectively. In this paper, we propose to employ unmanned aerial vehicles (UAVs) to assist the IoT data collection with blockchain-based security provisioning, towards efficient and safeguarded IoT operations. In particular, a blockchain with proof-of-stake (PoS) consensus mechanism is constructed among the UAVs with the collected IoT data. Correspondingly, we optimize the IoT communication and the UAV deployment for the maximum blockchain throughput considering the PoS procedure. The problem is solved with a deep deterministic policy gradient-based approach, where the power allocation is obtained with closed-form solutions and the UAV deployment is learned with actor-critic networks. Simulation results are provided to show the deployment and performance, corroborating the effectiveness of our proposal.
AB - Internet of Things (IoT) can be conveniently de-ployed while empowering various applications, where the IoT nodes can form clusters to finish certain missions collectively. In this paper, we propose to employ unmanned aerial vehicles (UAVs) to assist the IoT data collection with blockchain-based security provisioning, towards efficient and safeguarded IoT operations. In particular, a blockchain with proof-of-stake (PoS) consensus mechanism is constructed among the UAVs with the collected IoT data. Correspondingly, we optimize the IoT communication and the UAV deployment for the maximum blockchain throughput considering the PoS procedure. The problem is solved with a deep deterministic policy gradient-based approach, where the power allocation is obtained with closed-form solutions and the UAV deployment is learned with actor-critic networks. Simulation results are provided to show the deployment and performance, corroborating the effectiveness of our proposal.
KW - blockchain
KW - deep deterministic policy gradient
KW - Internet of Things
KW - unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85184364236&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685008
DO - 10.1109/GLOBECOM46510.2021.9685008
M3 - 会议文章
AN - SCOPUS:85184364236
SN - 2334-0983
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
Y2 - 7 December 2021 through 11 December 2021
ER -