How Much Communication Resource is Needed to Run a Wireless Blockchain Network?

被引:38
作者
Zhang, Lei [1 ]
Xu, Hao [2 ]
Onireti, Oluwakayode [1 ]
Imran, Muhammad Ali [3 ]
Cao, Bin [4 ]
机构
[1] Univ Glasgow, Glasgow, Lanark, Scotland
[2] Univ Glasgow, James Watt Sch Engn, Commun Sensing & Imaging Res Grp, CSI Grp, Glasgow, Lanark, Scotland
[3] Univ Glasgow, Commun Sensing & Imaging Res Grp, CSI Grp, Glasgow, Lanark, Scotland
[4] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
来源
IEEE NETWORK | 2022年 / 36卷 / 01期
关键词
Blockchains; Peer-to-peer computing; Security; Throughput; Scalability; Wireless communication; Communication system security;
D O I
10.1109/MNET.101.2100208
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Blockchain is built on a peer-to-peer network that relies on frequent communications among distributively located nodes. In particular, the consensus mechanisms (CMs), which play a pivotal role in blockchain, are communication resource-demanding and largely determine blockchain security bounds (i.e., fault tolerances) and other key performance metrics such as transaction throughput, latency and scalability. Most blockchain systems are designed in a stable wired communication network running in advanced devices under the assumption of sufficient communication resource provision. However, it is envisioned that the majority of blockchain node peers will be connected through the wireless network in the future. Constrained by the highly dynamic wireless channel and scarce frequency spectrum, communication can significantly affect blockchain's key performance metrics. Hence, in this article, we present wireless blockchain networks (WBN) under various commonly used CMs and we answer the question of how much communication resource is needed to run such a network. We first present the role of communication in the four stages of the blockchain procedure. We then discuss the relationship between the communication resource provision and the WBNs performance, for three of the most used blockchain CMs, namely, Proof-of-Work (PoW), practical Byzantine Fault Tolerant (PBFT) and Raft. Finally, we provide analytical and simulated results to show the impact of the communication resource provision on blockchain performance.
引用
收藏
页码:128 / 135
页数:8
相关论文
共 15 条
  • [1] Performance Characterization of Hyperledger Fabric
    Baliga, Arati
    Solanki, Nitesh
    Verekar, Shubham
    Pednekar, Amol
    Kamat, Pandurang
    Chatterjee, Siddhartha
    [J]. 2018 CRYPTO VALLEY CONFERENCE ON BLOCKCHAIN TECHNOLOGY (CVCBT), 2018, : 65 - 74
  • [2] When Internet of Things Meets Blockchain: Challenges in Distributed Consensus
    Cao, Bin
    Li, Yixin
    Zhang, Lei
    Zhang, Long
    Mumtaz, Shahid
    Zhou, Zhenyu
    Peng, Mugen
    [J]. IEEE NETWORK, 2019, 33 (06): : 133 - 139
  • [3] Practical byzantine fault tolerance and proactive recovery
    Castro, M
    Liskov, B
    [J]. ACM TRANSACTIONS ON COMPUTER SYSTEMS, 2002, 20 (04): : 398 - 461
  • [4] Granetto B., 2017, FORECAST BLOCKCHAIN
  • [5] A Scalable Multi-Layer PBFT Consensus for Blockchain
    Li, Wenyu
    Feng, Chenglin
    Zhang, Lei
    Xu, Hao
    Cao, Bin
    Imran, Muhammad Ali
    [J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 32 (05) : 1146 - 1160
  • [6] BLOCKCHAIN RADIO ACCESS NETWORK BEYOND 5G
    Ling, Xintong
    Wang, Jiaheng
    Le, Yuwei
    Ding, Zhi
    Gao, Xiqi
    [J]. IEEE WIRELESS COMMUNICATIONS, 2020, 27 (06) : 160 - 168
  • [7] Ongaro D., 2014, USENIX ANN TECHNICAL, P305
  • [8] Blockchain-Based Secure Spectrum Trading for Unmanned-Aerial-Vehicle-Assisted Cellular Networks: An Operator's Perspective
    Qiu, Junfei
    Grace, David
    Ding, Guoru
    Yao, Junnan
    Wu, Qihui
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (01) : 451 - 466
  • [9] BLOCKBENCH: A Framework for Analyzing Private Blockchains
    Tien Tuan Anh Dinh
    Wang, Ji
    Chen, Gang
    Liu, Rui
    Ooi, Beng Chin
    Tan, Kian-Lee
    [J]. SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2017, : 1085 - 1100
  • [10] University of Cambridge, 2021, CAMBR BITC EL CONS I