Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Information and Knowledge Management
  4. Vol 3, Issue 1, 2022

Agricultural Information Data Sharing Model of Mobile Communication Network Based on Blockchain

Download as PDF

DOI: 10.23977/infkm.2022.030101 | Downloads: 9 | Views: 1052

Author(s)

Tianxiang Yang 1, Yiming Lin 2

Affiliation(s)

1 School of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330032, Jiangxi, China
2 School of Economics and Management, Xiamen University of Technology, Xiamen 361024, Fujian, China

Corresponding Author

Tianxiang Yang

ABSTRACT

Technological progress enables enterprises to make better decisions and cooperation. Data can be obtained from data sources through information technology tools. In this paper, the decentralized agricultural information sharing system is constructed by using block chain technology, which is also suitable for other fields. Users share data through streams in the blockchain. The system collects user data through verification and ensures that users can reasonably control data and protect user privacy. The data in the database is transformed into open data mode, which is shared through the flow in the blockchain so that other users can easily convert the data to their database after receiving the data. This article tested the latency and memory consumption that affect the user experience to evaluate model performance. The delay result of the request to the blockchain data sharing service provider is 682.32 ms. The time for integrity and signature verification is 28.32 ms. Experiments show that the results can respond quickly and the user experience is very good.

KEYWORDS

Blockchain Technology, Agricultural Information, Data Sharing Model, Mobile Communication Network

CITE THIS PAPER

Tianxiang Yang, Yiming Lin, Agricultural Information Data Sharing Model of Mobile Communication Network Based on Blockchain. Information and Knowledge Management (2022) Vol. 3: 1-14. DOI: http://dx.doi.org/10.23977/infkm.2022.030101.

REFERENCES

[1] Singh, P., and Agrawal, R. 2018. "A Customer Centric Best Connected Channel Model for Heterogeneous and Iot Networks," Journal of Organizational and End User Computing (30:4), pp. 32-50.
[2] Abdullah R S , Faizal M A . Block Chain: Cryptographic Method in Fourth Industrial Revolution. International Journal of Computer Network & Information Security, 2018, 10(11):9-17.
[3] Ding P . A Battery Health Data Sharing Model via Blockchain. Open Access Library Journal, 2018, 05(11):1-12.
[4] Bradbury D . Blockchain's big deal [financial IT]. Engineering & Technology, 2016, 11(10):44-44.
[5] Linnhoff-Popien C , Widmann A . Blockchain – Zum Geleit. Digitale Welt, 2018, 2(1):26-28.
[6] Stommel S . Blockchain-Ökosysteme. Datenschutz Und Datensicherheit Dud, 2017, 41(1):7-12.
[7] Esposito C , Santis A D , Tortora G , et al. Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?. IEEE Cloud Computing, 2018, 5(1):31-37.
[8] Pieters G C , Koch C . Blockchain Technology Disrupting Traditional Records Systems. Economic review (Federal Reserve Bank of Dallas), 2017, 6(2):1-3.
[9] Treleaven P , Brown R G , Yang D . Blockchain Technology in Finance. Computer, 2017, 50(9):14-17.
[10] Ellehauge J . Blockchain in Geospatial Applications. Gim international, 2017, 31(5):43-45.
[11] Siems R . Blockchain for Science Erste internationale Fachtagung in Berlin, 5. bis 6. November 2018. Abi Technik, 2019, 39(2):153-160.
[12] Saracevic, Muzafer, Saša Adamović, Nemanja Macek, Mohamed Elhoseny, and Shahenda Sarhan. "Cryptographic Keys Exchange Model for Smart City Applications." IET Intelligent Transport Systems, In Press, 2020.
[13] Lorne F T, Daram S, Frantz R, et al. Blockchain Economics and Marketing. Journal of Computer & Communications, 2018, 06(12):107-117.
[14] Namasudra, S., and Roy, P. 2018. "Ppbac: Popularity Based Access Control Model for Cloud Computing," Journal of Organizational and End User Computing (30:4), pp. 14-31.
[15] Nadine Rückeshäuser, Brenig C, Günter Müller. Blockchains als Grundlage digitaler Geschäftsmodelle. Datenschutz Und Datensicherheit Dud, 2017, 41(8):492-496.
[16] Bahga A, Madisetti V K. Blockchain Platform for Industrial Internet of Things. Journal of Software Engineering and Applications, 2016, 09(10):533-546.
[17] Michael Eldred. Blockchain Thinking and Euphoric Hubris (vol 35, pg 39, 2016). IEEE Technology & Society Magazine, 2016, 35(2):27-27.
[18] Thakur S, Kulkarni V. Blockchain and Its Applications – A Detailed Survey. International Journal of Computer Applications, 2017, 180(3):29-35.
[19] Liu, Y., Yang, C., Sun, Q., & Chen, Y. (2020). ( k, n) scalable secret image sharing with multiple decoding options. Journal of Intelligent and Fuzzy Systems, 38(1), 219-228.
[20] Choksi B , Sawant A , Subhasree S . Blockchain-based Smart P2P Lending using Neural Networks. International Journal of Computer Applications, 2018, 180(35):51-55.
[21] Xue T F , Fu Q C , Wang C , et al. A Medical Data Sharing Model via Blockchain. Zidonghua Xuebao/Acta Automatica Sinica, 2017, 43(9):1555-1562.
[22] Saracevic, Muzafer, Saša Adamović, Nemanja Macek, Mohamed Elhoseny, and Shahenda Sarhan. "Cryptographic Keys Exchange Model for Smart City Applications." IET Intelligent Transport Systems, In Press, 2020.
[23] Mukkamala R R , Vatrapu R , Ray P K , et al. Blockchain for Social Business: Principles and Applications. IEEE Engineering Management Review, 2018, PP(99):1-1.
[24] Seth S Leopold, Raphal Porcher. Editorial: Sparse-data Bias-What the Savvy Reader Needs to Know. Clinical Orthopaedics and Related Research, 2018, 476(4):657-659.
[25] Zou J , Ye B , Qu L , et al. A Proof-of-Trust Consensus Protocol for Enhancing Accountability in Crowdsourcing Services. IEEE Transactions on Services Computing, 2018, PP(99):1-1.
[26] Haubeck C , Bornholdt H , Lamersdorf W , et al. Step-based evolution support among networked production automation systems. At Automatisierungstechnik, 2018, 66(10):849-858.
[27] J. Zhang. Walks trajectory tracking of shared information based on consortium blockchain. Revista de la Facultad de Ingenieria, 2016, 31(12):8-17.
[28] Kim T K , Kan J M . Sharing the attribute information based on blockchain. Journal of Engineering and Applied Sciences, 2018, 13(3):771-775.
[29] Esposito C , Santis A D , Tortora G , et al. Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?. IEEE Cloud Computing, 2018, 5(1):31-37.
[30] Yishu, L.(2020)“Promoting Competitiveness of Green Brand of Agricultural Products based on Agricultural Industry Cluster”, Revista De La Facultad De Agronomia De La Universidad Del Zulia, 37(2),pp. 769‐778
[31] Dinh T T A, Liu R, Zhang M, et al. Untangling Blockchain: A Data Processing View of Blockchain Systems. IEEE Transactions on Knowledge & Data Engineering, 2017, pp. (99):1-1.
[32] Fabisiak, L. 2018. "Web Service Usability Analysis Based on User Preferences," Journal of Organizational and End User Computing (30:4), pp. 1-13.
[33] Gammon K. Experimenting with blockchain: Can one technology boost both data integrity and patients' pocketbooks? Nature Medicine, 2018, 24(4):378-381.
[34] Wang, B.; Zhang, X.H.; Dong, X.C.(2018). Novel Secure Communication Based on Chaos Synchronization, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, E101A, 1132-1135.
[35] Zongsheng Huang, Jiajia Nie & Sang-Bing Tsai. 2017. Dynamic Collection Strategy and Coordination of a Remanufacturing Closed-Loop Supply Chain under Uncertainty. Sustainability, 9, 683. 
[36] Singh M, Kim S. Intelligent Vehicle-Trust Point: Reward based Intelligent Vehicle Communication using Blockchain. Optical Engineering, 2017, 33(1):701-709.
[37] Liu, Z., Feng, J., Liu, B.(2019) Pricing and service level decisions under a sharing product and consumers' variety-seeking behavior, Sustainability (Switzerland),11(24).
[38] Adoma F. Big Data, Machine Learning and the BlockChain Technology: An Overview. International Journal of Computer Applications, 2018, 180(28):1-4.
[39] Liu, B., Li, T. & Tsai, S.B. 2017. Low carbon strategy analysis of competing supply chains with different power structures. Sustainability, 2017, 9, 835.
[40] S Wan, L Qi, X Xu, C Tong, Z Gu. Deep Learning Models for Real-time Human Activity Recognition with Smartphones, Mobile Networks and Applications, 1-13, 2019.
[41] M.Elhoseny, Multi-object Detection and Tracking (MODT) MachineLearning Model for Real-Time Video Surveillance Systems, Circuits, Systems, and Signal Processing, First Online: 20 August 2019. 39, pages611–630.
[42] Y. Jiang, H. Song, R. Wang, M. Gu, J. Sun and L. Sha, (2017). "Data-Centered Runtime Verification of Wireless Medical Cyber-Physical System," in IEEE Transactions on Industrial Informatics, 13(4), pp. 1900-1909.
[43] Wu, Y., Rong, B., Salehian, K., & Gagnon, G. (2012). Cloud transmission: A new spectrum-reuse friendly digital terrestrial broadcasting transmission system. IEEE Transactions on Broadcasting, 58(3), 329-337.
[44] Lv Z, Kumar N. Software defined solutions for sensors in 6G/IoE. Computer Communications. 2020. Mar 1;153:42-47.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.