TY - GEN
T1 - PFCC
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
AU - Shi, Yuan
AU - Li, Gaolei
AU - Xu, Xin
AU - Wu, Jun
AU - Li, Jianhua
N1 - Funding Information:
This work is supported by National Natural Science Foundation of China under Grant No. U20B204.
Funding Information:
This work is supported by National Natural Science Foundation of China under Grant No. U20B2048 and 61972255, Shanghai Sailing Program under Grant No. 21YF1421700 and Special Fund for Inudstrial Transfomation and Upgrading Development of Shanghai Under Grant No. GYQJ-2018-3-03.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - As the security requirements increases, 5G slicing-enabled Internet of things needs to adopt end-to-end standalone networking, which limits the consensus convergence of mobile blockchain. Although the rise of FIBRE (Fast Internet Bitcoin Relay Engine) gives a huge promotion to block propagation, existing approaches cannot consider the influence of link outages among 5G slices on mobile blockchain. In this paper, we focus on decreasing the block propagation time among blockchain peers under the scenario where link outages among 5G slices exist. A predictive fast consensus convergence (PFCC) scheme is proposed for mobile blockchain over 5G slicing-enabled internet of things. In PFCC, federated semi-supervised learning is used to learn the features of withdraw packets, reroutes the packets of blockchain peers, and ultimately reduces the scale of link outages quickly. With PFCC, different blockchain peers located in standalone 5G slices of IoT can transact local sensing data more efficiently. To the best of our knowledge, this is the first work to improve the consensus convergence speed of mobile blockchain by optimizing communications between 5G slices. Experiments shows the feasibility of proposed scheme.
AB - As the security requirements increases, 5G slicing-enabled Internet of things needs to adopt end-to-end standalone networking, which limits the consensus convergence of mobile blockchain. Although the rise of FIBRE (Fast Internet Bitcoin Relay Engine) gives a huge promotion to block propagation, existing approaches cannot consider the influence of link outages among 5G slices on mobile blockchain. In this paper, we focus on decreasing the block propagation time among blockchain peers under the scenario where link outages among 5G slices exist. A predictive fast consensus convergence (PFCC) scheme is proposed for mobile blockchain over 5G slicing-enabled internet of things. In PFCC, federated semi-supervised learning is used to learn the features of withdraw packets, reroutes the packets of blockchain peers, and ultimately reduces the scale of link outages quickly. With PFCC, different blockchain peers located in standalone 5G slices of IoT can transact local sensing data more efficiently. To the best of our knowledge, this is the first work to improve the consensus convergence speed of mobile blockchain by optimizing communications between 5G slices. Experiments shows the feasibility of proposed scheme.
KW - 5G slicing
KW - Consensus convergence
KW - federated semi-supervised learning
KW - mobile blockchain
UR - http://www.scopus.com/inward/record.url?scp=85127288913&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127288913&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685419
DO - 10.1109/GLOBECOM46510.2021.9685419
M3 - Conference contribution
AN - SCOPUS:85127288913
T3 - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
BT - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 December 2021 through 11 December 2021
ER -