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DePIN: A Framework for Token-Incentivized Participatory Sensing (2405.16495v1)

Published 26 May 2024 in cs.GT

Abstract: There is always demand for integrating data into microeconomic decision making. Participatory sensing deals with how real-world data may be extracted with stakeholder participation and resolves a problem of Big Data, which is concerned with monetizing data extracted from individuals without their participation. We present how Decentralized Physical Infrastructure Networks (DePINs) extend participatory sensing. We discuss the threat models of these networks and how DePIN cryptoeconomics can advance participatory sensing.

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References (57)
  1. Ballandies, M. C., Wang, H., Law, A. C. C., Yang, J. C., Gösken, C., Andrew, M. “A Taxonomy for Blockchain-based Decentralized Physical Infrastructure Networks (DePIN).” arXiv preprint arXiv:2309.16707 .
  2. Burke, J. A., et al. “Participatory Sensing.” .
  3. Méndez, D., Pérez, A. J., Labrador, M. A., Marrón, J. J. “P-Sense: A participatory sensing system for air pollution monitoring and control.” In 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) 344–347 (2011) doi:10.1109/PERCOMW.2011.5766902.
  4. Schweizer, I., Bärtl, R., Schulz, A., Probst, F., Mühläuser, M. “NoiseMap-real-time participatory noise maps.” In Second international workshop on sensing applications on mobile phones Citeseer 1–5 (2011) .
  5. Middya, A. I., Roy, S., Chattopadhyay, D. “CityLightSense: a participatory sensing-based system for monitoring and mapping of illumination levels.” ACM Transactions on Spatial Algorithms and Systems (TSAS) 8.1 1–22 (2021).
  6. Deng, L., Cox, L. P. “Livecompare: grocery bargain hunting through participatory sensing.” In Proceedings of the 10th workshop on Mobile Computing Systems and Applications 1–6 (2009) .
  7. Patra, S., Middya, A. I., Roy, S. “PotSpot: Participatory sensing based monitoring system for pothole detection using deep learning.” Multimedia Tools and Applications 80 25171–25195 (2021).
  8. Erickson, V. L., Cerpa, A. E. “Thermovote: participatory sensing for efficient building hvac conditioning.” In Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings 9–16 (2012) .
  9. Can, A., Guillaume, G., Picaut, J. “Cross-calibration of participatory sensor networks for environmental noise mapping.” Applied Acoustics 110 99–109 (2016).
  10. Mahajan, S., Mondardini, R., Helbing, D. “Democratizing Air: A Co-Created Citizen Science Approach to Indoor Air Quality Monitoring.” Available at SSRN 4594515 .
  11. Malinova, K., Park, A. “Tokenomics: When Tokens Beat Equity.” Management Science 69.11 6568–6583 (2023).
  12. Fan, X., Xu, L. “Towards a Rollup-Centric Scalable Architecture for Decentralized Physical Infrastructure Networks: A Position Paper.” In Proceedings of the Fifth ACM International Workshop on Blockchain-enabled Networked Sensor Systems 9–12 (2023) .
  13. Nakamoto, S. “Bitcoin: A peer-to-peer electronic cash system.” Decentralized business review .
  14. Verchok, N., Orailoğlu, A. “Hunting Sybils in Participatory Mobile Consensus-Based Networks.” In Proceedings of the 15th ACM Asia Conference on Computer and Communications Security 732–743 (2020) .
  15. Saroiu, S., Wolman, A. “I am a sensor, and i approve this message.” In Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications 37–42 (2010) .
  16. Ezirim, K., Khoo, W., Koumantaris, G., Law, R., Perera, I. M. “Trusted Platform Module–A Survey.” The Graduate Center of The City University of New York 11.
  17. Banks, A. S., Kisiel, M., Korsholm, P. “Remote attestation: a literature review.” arXiv preprint arXiv:2105.02466 .
  18. Wan, S., Sun, M., Sun, K., Zhang, N., He, X. “RusTEE: Developing Memory-Safe ARM TrustZone Applications.” In Annual Computer Security Applications Conference New York, NY, USA: Association for Computing Machinery 442–453 (2020) doi:10.1145/3427228.3427262 URL https://doi.org/10.1145/3427228.3427262.
  19. Pinto, S., Araujo, H., Oliveira, D., Martins, J., Tavares, A. “Virtualization on trustzone-enabled microcontrollers? voilà!” In 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) IEEE 293–304 (2019) .
  20. Chen, L.-J., Ho, Y.-H., Hsieh, H.-H., Huang, S.-T., Lee, H.-C., Mahajan, S. “ADF: An Anomaly Detection Framework for Large-Scale PM2.5 Sensing Systems.” IEEE Internet of Things Journal 5.2 559–570 (2018) doi:10.1109/JIOT.2017.2766085.
  21. Middya, A. I., Roy, S. “Spatial interpolation techniques on participatory sensing data.” ACM Transactions on Spatial Algorithms and Systems 7.3 1–32 (2021).
  22. Bilonick, R. A. “An introduction to applied geostatistics.” (1991).
  23. Aumond, P., et al. “Kriging-based spatial interpolation from measurements for sound level mapping in urban areas.” The journal of the acoustical society of America 143.5 2847–2857 (2018).
  24. Chang, Q., Tao, D., Wang, J., Gao, R. “Deep Compressed Sensing based Data Imputation for Urban Environmental Monitoring.” ACM Transactions on Sensor Networks 20.1 1–21 (2023).
  25. Luo, T., Huang, J., Kanhere, S. S., Zhang, J., Das, S. K. “Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach.” IEEE Internet of Things Journal 6.3 5651–5664 (2019) doi:10.1109/JIOT.2019.2904704.
  26. Banerjee, N., Giannetsos, T., Panaousis, E., Took, C. C. “Unsupervised Learning for Trustworthy IoT.” In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 1–8 (2018) doi:10.1109/FUZZ-IEEE.2018.8491672.
  27. Restuccia, F., Ferraro, P., Sanders, T. S., Silvestri, S., Das, S. K., Re, G. L. “FIRST: A framework for optimizing information quality in mobile crowdsensing systems.” ACM Transactions on Sensor Networks (TOSN) 15.1 1–35 (2018).
  28. Yang, D., Xue, G., Fang, X., Tang, J. “Crowdsourcing to Smartphones: Incentive Mechanism Design for Mobile Phone Sensing.” In Proceedings of the 18th Annual International Conference on Mobile Computing and Networking New York, NY, USA: Association for Computing Machinery 173–184 (2012) doi:10.1145/2348543.2348567 URL https://doi.org/10.1145/2348543.2348567.
  29. Christin, D., Büchner, C., Leibecke, N. “What’s the value of your privacy? Exploring factors that influence privacy-sensitive contributions to participatory sensing applications.” In 38th Annual IEEE Conference on Local Computer Networks-Workshops IEEE 918–923 (2013) .
  30. Reddy, S., Estrin, D., Hansen, M., Srivastava, M. “Examining Micro-Payments for Participatory Sensing Data Collections.” In Proceedings of the 12th ACM International Conference on Ubiquitous Computing New York, NY, USA: Association for Computing Machinery 33–36 (2010) doi:10.1145/1864349.1864355 URL https://doi.org/10.1145/1864349.1864355.
  31. Ballandies, M. C. “To incentivize or not: Impact of blockchain-based cryptoeconomic tokens on human information sharing behavior.” IEEE Access 10 74111–74130 (2022).
  32. Osterloh, M., Frey, B. S. “Motivation, knowledge transfer, and organizational forms.” Organization science 11.5 538–550 (2000).
  33. Gao, L., Hou, F., Huang, J. “Providing long-term participation incentive in participatory sensing.” In 2015 IEEE Conference on Computer Communications (INFOCOM) 2803–2811 (2015) doi:10.1109/INFOCOM.2015.7218673.
  34. Ueyama, Y., Tamai, M., Arakawa, Y., Yasumoto, K. “Gamification-based incentive mechanism for participatory sensing.” In 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS) IEEE 98–103 (2014) .
  35. Yu, R., Cao, J., Liu, R., Gao, W., Wang, X., Liang, J. “Participant incentive mechanism toward quality-oriented sensing: understanding and application.” ACM Transactions on Sensor Networks (TOSN) 15.2 1–25 (2019).
  36. Huang, K. L., Kanhere, S. S., Hu, W. “Are you contributing trustworthy data? The case for a reputation system in participatory sensing.” In Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems 14–22 (2010) .
  37. Shah, Y., Sengupta, S. “A survey on Classification of Cyber-attacks on IoT and IIoT devices.” In 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) IEEE 0406–0413 (2020) .
  38. Zimmer, V., Krau, M. “Establishing the root of trust.” UEFI. org document dated August .
  39. Or-Meir, O., Nissim, N., Elovici, Y., Rokach, L. “Dynamic malware analysis in the modern era—A state of the art survey.” ACM Computing Surveys (CSUR) 52.5 1–48 (2019).
  40. Ammar, M., Crispo, B., Tsudik, G. “Simple: A remote attestation approach for resource-constrained iot devices.” In 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS) IEEE 247–258 (2020) .
  41. Dushku, E., Rabbani, M. M., Conti, M., Mancini, L. V., Ranise, S. “SARA: Secure asynchronous remote attestation for IoT systems.” IEEE Transactions on Information Forensics and Security 15 3123–3136 (2020).
  42. Fu, K., Xu, W. “Risks of Trusting the Physics of Sensors.” Commun. ACM 61.2 20–23 (2018) doi:10.1145/3176402 URL https://doi.org/10.1145/3176402.
  43. Wang, G., Wang, B., Wang, T., Nika, A., Zheng, H., Zhao, B. Y. “Ghost riders: Sybil attacks on crowdsourced mobile mapping services.” IEEE/ACM transactions on networking 26.3 1123–1136 (2018).
  44. Voshmgir, S., Zargham, M., et al. “Foundations of cryptoeconomic systems.” Research Institute for Cryptoeconomics, Vienna, Working Paper Series/Institute for Cryptoeconomics/Interdisciplinary Research 1.
  45. Jagtap, D., Yen, A., Wu, H., Schulman, A., Pannuto, P. “Federated infrastructure: usage, patterns, and insights from” the people’s network”.” In Proceedings of the 21st ACM Internet Measurement Conference 22–36 (2021) .
  46. Kuwabara, K. “Do reputation systems undermine trust? Divergent effects of enforcement type on generalized trust and trustworthiness.” American Journal of Sociology 120.5 1390–1428 (2015).
  47. Kalabic, U., Ballandies, M. C., Paruch, K., Nax, H., Nigg, T. “Burn-and-Mint Tokenomics: Deflation and Strategic Incentives.” In Int. Workshop Decentralized Physical Infrastructure Networks, page submitted for publication (2023) .
  48. Kraner, B., Vallarano, N., Schwarz-Schilling, C., Tessone, C. J. “Agent-Based Modelling of Ethereum Consensus.” In 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) IEEE 1–8 (2023) .
  49. Schär, F. “Decentralized finance: On blockchain-and smart contract-based financial markets.” FRB of St. Louis Review .
  50. Zargham, M., Shorish, J., Paruch, K. “From curved bonding to configuration spaces.” In 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) IEEE 1–3 (2020) .
  51. Helbing, D., Helbing, D. “Networked Minds: Where Human Evolution Is Heading.” Next Civilization: Digital Democracy and Socio-Ecological Finance-How to Avoid Dystopia and Upgrade Society by Digital Means 175–196.
  52. Helbing, D., et al. “Democracy by Design: Perspectives for Digitally Assisted, Participatory Upgrades of Society.” Journal of Computational Science 71 102061 (2023).
  53. van der Molen, T., Ospina, D. “What is a DAO Community and when is it healthy: a working paper by RnDAO.” (2023) URL https://rndao.mirror.xyz/F-SMj6p_jdYvrMMkR1d9Hd6YbEg39qItTKfjo-zkgqM.
  54. Balestrini, M., Diez, T., Kresin, F. “From participatory sensing to making sense.” Environ. Infrastructures Platforms 2015-Infrastructures Platforms Environ. Crowd Sens. Big Data 49–56.
  55. Goldberg, M., Schär, F. “Metaverse governance: An empirical analysis of voting within Decentralized Autonomous Organizations.” Journal of Business Research 160 113764 (2023).
  56. Karim, A., et al. “Big data management in participatory sensing: Issues, trends and future directions.” Future Generation Computer Systems 107 942–955 (2020).
  57. Cheng, J., Long, H., Tang, X., Li, J., Chen, M., Xiong, N. “A reputation incentive mechanism of crowd sensing system based on blockchain.” In Artificial Intelligence and Security: 6th International Conference, ICAIS 2020, Hohhot, China, July 17–20, 2020, Proceedings, Part II 6 Springer 695–706 (2020) .

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