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Design of a Distributed Ledger-Based Reward Architecture for Collaborative Tasks

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Proceedings of the 11th International Conference on Computer Engineering and Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 808))

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Abstract

With the development and progress of blockchain, its application scenarios are becoming more and more extensive. And in the development of crowd-sensing, how to get high quality sensing data and how to motivate enough users to participate is the urgent problem at present. This article is based on the existing technology, with the help of distributed ledger, crowd-sensing, incentive mechanism and other concepts, combined with collaborative tasks to achieve incentive mechanism, which can effectively solve the problem of platform centrality and realize decentralized operation. At the same time, smart contracts on the blockchain can be executed to realize complex logic, thus solving the shortcomings of the current incentive mechanism. This paper can be applied to smart city noise sensing scenario, and combined with blockchain technology, it can realize decentralized storage of data security and distributed implementation of incentive mechanism.

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References

  1. Farkas, K., Lendak, I.: Simulation environment for investigating crowd-sensing based urban parking. In: International Conference on Models and Technologies for Intelligent Transportation Systems: Budapest University of Technology and Economics, pp. 320–327 (2015)

    Google Scholar 

  2. Yao, W., Juru, Z., Hui, P., Hong, C., Cuiping, L.: Survey on incentive mechanisms for crowd sensing. J. Softw. 27(8), 2025–2047 (2016)

    MathSciNet  Google Scholar 

  3. Jia, B., Zhou, T., Li, W., Liu, Z., Zhang, J.: A blockchain-based location privacy protection incentive mechanism in crowd sensing networks. Sensors 18, 3894 (2018)

    Article  Google Scholar 

  4. Guo, B., Shuying, Z., Zewen, Y., Xingshe, Z.: Group wise big data: perception, preference and understanding. Big Data 3(5), 57–69 (2017)

    Google Scholar 

  5. Guosheng, Z., Yuting, L., Jian, W.: Dynamic trust evaluation model for task participants oriented to mobile crowd sensing. China J. Posts Telecommun. Univ. (English Ed.) 27(2), 26–36 (2020)

    Google Scholar 

  6. Huihui, C., Bin, G., Zhi, Y.: Mobile group intelligence awareness application. ZTE Commun. Technol. 1, 35–37 (2014)

    Google Scholar 

  7. Chaoyue, J., Zhongyong, G., Yong, Y.: Application research of smart contract on hyperledger fabric. Mod. Inf. Technol. 4(4), 176–179 (2020)

    Google Scholar 

  8. Jie, L., Xingwei, W., Rui, L.: User reputation-based participatory incentive mechanism in social and community intelligence systems. Comput. Sci. Explor. 9(12), 1471–1482 (2015)

    Google Scholar 

  9. Tingting, H., Xiaojuan, Z.: Incentive mechanism based on reverse auction model for crowd sensing. J. Jiamusi Univ. (Nat. Sci. Ed.) 38(3), 114–119 (2020)

    Google Scholar 

  10. Qiang, Z., Peng, L., Lei, N.: User incentive mechanism based on spatial-temporal correlation for crowd sensing. Comput. Eng. 47(3), 227–236 (2021)

    Google Scholar 

  11. Pak, W., Sum, E.: Application research based on blockchain technology in the field of energy saving. In: 2020 5th International Workshop on Materials Engineering and Computer Sciences, pp. 114–118 (2020)

    Google Scholar 

  12. Kantarci, B., Mouftah, H.T.: Reputation-based sensing-as-a-service for crowd management over the cloud. In: IEEE International Conference on Communications: Institute of Electrical and Electronics Engineers, pp. 3614–3619 (2014)

    Google Scholar 

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Acknowledgment

This work was supported by National Key R&D Program of China (2020YFB1807802).

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Correspondence to Zhili Wang .

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wang, J., Rui, L., Yang, Y., Wang, M., Chen, S., Wang, Z. (2022). Design of a Distributed Ledger-Based Reward Architecture for Collaborative Tasks. In: Liu, Q., Liu, X., Chen, B., Zhang, Y., Peng, J. (eds) Proceedings of the 11th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-16-6554-7_170

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