TY - JOUR
T1 - Information-centric massive iot-based ubiquitous connected vr/ar in 6g
T2 - A proposed caching consensus approach
AU - Liao, Siyi
AU - Wu, Jun
AU - Li, Jianhua
AU - Konstantin, Kostromitin
N1 - Funding Information:
Manuscript received June 18, 2020; revised August 26, 2020; accepted September 28, 2020. Date of publication October 13, 2020; date of current version March 24, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant 61972255. (Corresponding author: Jun Wu.) Siyi Liao, Jun Wu, and Jianhua Li are with the Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, School of Cyber Security, Shanghai Jiao Tong University, Shanghai 200240, China (e-mail: junwuhn@sjtu.edu.cn).
Publisher Copyright:
© 2014 IEEE.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - The development of massive IoT has not only brought about a wealth of hardware resources but also brought about the problems of difficult data management, resource running and low efficiency. The emergence of sixth-generation (6G) network will not only provide faster data rates, more device connections but also bring ubiquitous virtual reality/augmented reality (VR/AR) services. In the 6G era, large-scale IoT devices will generate VR/AR service and resource requirements, and the network will also face unprecedented pressure to respond to the ubiquitous VR/AR requirements. To address the above issues, this article proposes the information-centric massive Internet of Things (IC-mIoT) suitable for 6G large-scale VR/AR content distribution to improve the efficiency of IC-mIoT and fully guarantee the Quality of Service (QoS) of users. First, this article introduces the blockchain for IC-mIoT nodes and proposes a new consensus mechanism Proof-of-Cache-Offloading (PoCO). Second, an architecture using blockchain-enabled IC-mIoT for VR/AR is proposed in this article. The massive IoT resources are fully integrated and scheduled to support large-scale VR/AR applications and IC-mIoT. Third, a Stackelberg game model and a cache index selection and calculation algorithm are formulated for blockchain-enabled cache offloading. The analysis and performance simulation results indicate the superiority and effectiveness of the proposed scheme.
AB - The development of massive IoT has not only brought about a wealth of hardware resources but also brought about the problems of difficult data management, resource running and low efficiency. The emergence of sixth-generation (6G) network will not only provide faster data rates, more device connections but also bring ubiquitous virtual reality/augmented reality (VR/AR) services. In the 6G era, large-scale IoT devices will generate VR/AR service and resource requirements, and the network will also face unprecedented pressure to respond to the ubiquitous VR/AR requirements. To address the above issues, this article proposes the information-centric massive Internet of Things (IC-mIoT) suitable for 6G large-scale VR/AR content distribution to improve the efficiency of IC-mIoT and fully guarantee the Quality of Service (QoS) of users. First, this article introduces the blockchain for IC-mIoT nodes and proposes a new consensus mechanism Proof-of-Cache-Offloading (PoCO). Second, an architecture using blockchain-enabled IC-mIoT for VR/AR is proposed in this article. The massive IoT resources are fully integrated and scheduled to support large-scale VR/AR applications and IC-mIoT. Third, a Stackelberg game model and a cache index selection and calculation algorithm are formulated for blockchain-enabled cache offloading. The analysis and performance simulation results indicate the superiority and effectiveness of the proposed scheme.
KW - 6G
KW - blockchain
KW - information-centric network (ICN)
KW - massive IoT
UR - http://www.scopus.com/inward/record.url?scp=85103015807&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85103015807&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2020.3030718
DO - 10.1109/JIOT.2020.3030718
M3 - Article
AN - SCOPUS:85103015807
SN - 2327-4662
VL - 8
SP - 5172
EP - 5184
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 7
M1 - 9222169
ER -