Publications -> Journal Papers

Using blockchain to build trusted LoRaWAN sharing server

Authors: J. Lin, Z. Shen, C. Miao, and S. Liu
Title: Using blockchain to build trusted LoRaWAN sharing server
Abstract: Purpose With the rapid growth of the Internet of Things (IoT) market and requirement, low power wide area (LPWA) technologies have become popular. In various LPWA technologies, Narrow Band IoT (NB-IoT) and long range (LoRa) are two main leading competitive technologies. Compared with NB-IoT networks, which are mainly built and managed by mobile network operators, LoRa wide area networks (LoRaWAN) are mainly operated by private companies or organizations, which suggests two issues: trust of the private network operators and lack of network coverage. This study aims to propose a conceptual architecture design of a blockchain built-in solution for LoRaWAN network servers to solve these two issues for LoRaWAN IoT solution. Design/methodology/approach The study proposed modeling, model analysis and architecture design. Findings The proposed solution uses the blockchain technology to build an open, trusted, decentralized and tamper-proof system, which provides the indisputable mechanism to verify that the data of a transaction has existed at a specific time in the network. Originality/value To the best of our knowledge, this is the first work that integrates blockchain technology and LoRaWAN IoT technology.
Keywords: Internet of things; Blockchain; LoRa; LoRaWAN
Journal Name: International Journal of Crowd Science, vol. 1, no. 3
Publisher: Emerald Publishing
Year: 2017
Accepted PDF File: Using_blockchain_to_build_trusted_LoRaWAN_sharing_server_accepted.pdf
Permanent Link:
Reference: J. Lin, Z. Shen, C. Miao, and S. Liu, “Using blockchain to build trusted LoRaWAN sharing server,” International Journal of Crowd Science, vol. 1, no. 3, pp. 270–280, 2017.
@article {LILY-j37,
   author 	= {Lin, Jun and Shen, Zhiqi and Miao, Chunyan and Liu, Siyuan},
   title 	= {Using blockchain to build trusted {LoRaWAN} sharing server},
   journal 	= {International Journal of Crowd Science},
   year 	= {2017},
   month 	= {},
   volume 	= {1},
   number 	= {3},
   pages 	= {270-280},
   publisher 	= {Emerald Publishing},