TY - JOUR
T1 - TIDES
T2 - A Trust-Aware IoT Data Economic System with Blockchain-Enabled Multi-Access Edge Computing
AU - Chuang, I. Hsun
AU - Huang, Shih Hao
AU - Chao, Wei Chu
AU - Tsai, Jen Sheng
AU - Kuo, Yau Hwang
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology (MOST), Taiwan, under Grant 106-2221-E-006-244-MY3, Grant 107-2221-E-006-164-MY2, and Grant 108-2321-B-006-008.
Publisher Copyright:
© 2013 IEEE.
PY - 2020
Y1 - 2020
N2 - To make good use of valuable Internet of Things (IoT) data assets, this paper proposes a trust-aware IoT data economic system (TIDES) with complete IoT data pricing, trading and protection functions. To ensure reliable and automatic data trading, the entire trading process is automatically performed by smart contracts on a hierarchical blockchain. Moreover, we develop several sophisticated methods to ensure the efficiency and service quality of TIDES. First, a complete evaluation model that takes the data trading profile and reputation into consideration is proposed for both suppliers and demanders to assess the trustworthiness of their trading partners. Second, a client-centric data value evaluation model and a game-theory-based pricing model are used to promote win-win transactions in which the demanders obtain higher quality data at an acceptable price and the suppliers receive higher profits. Third, a dispute arbitration model is invoked to detect suspicious trading and refund these payments automatically. TIDES further utilizes a multi-access edge computing (MEC) architecture to alleviate the huge burdens of IoT devices from blockchain operations, reduce the trading latency, and help mobile devices to trade IoT data. The simulation results have shown the advantages of TIDES in terms of trading time, storage overhead, data trading profit, quality data trading, pricing efficiency, and reliability on data asset management and trading.
AB - To make good use of valuable Internet of Things (IoT) data assets, this paper proposes a trust-aware IoT data economic system (TIDES) with complete IoT data pricing, trading and protection functions. To ensure reliable and automatic data trading, the entire trading process is automatically performed by smart contracts on a hierarchical blockchain. Moreover, we develop several sophisticated methods to ensure the efficiency and service quality of TIDES. First, a complete evaluation model that takes the data trading profile and reputation into consideration is proposed for both suppliers and demanders to assess the trustworthiness of their trading partners. Second, a client-centric data value evaluation model and a game-theory-based pricing model are used to promote win-win transactions in which the demanders obtain higher quality data at an acceptable price and the suppliers receive higher profits. Third, a dispute arbitration model is invoked to detect suspicious trading and refund these payments automatically. TIDES further utilizes a multi-access edge computing (MEC) architecture to alleviate the huge burdens of IoT devices from blockchain operations, reduce the trading latency, and help mobile devices to trade IoT data. The simulation results have shown the advantages of TIDES in terms of trading time, storage overhead, data trading profit, quality data trading, pricing efficiency, and reliability on data asset management and trading.
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U2 - 10.1109/ACCESS.2020.2991267
DO - 10.1109/ACCESS.2020.2991267
M3 - Article
AN - SCOPUS:85085112435
SN - 2169-3536
VL - 8
SP - 85839
EP - 85855
JO - IEEE Access
JF - IEEE Access
M1 - 9081899
ER -