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Local Services Based on Non-standard Wi-Fi Direct Usage Model

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2022)

Abstract

This article discusses a new model for building applied mobile services that use location information and operate in a certain limited spatial area. As a basis for building such applications, a new interpretation of the standard features of Wi-Fi Direct is used. The Wi-Fi Direct specification, in addition to defining the form of device connection, also introduces the concept of a service, when one device offers some service functions to another within the framework of a Wi-Fi Direct connection. Each device can both represent several services and send out search requests for other services. Based on the network proximity architecture, where connections are not used, and wireless network advertising tools are used to convey user information, Wi-Fi Direct services can be considered as key-value databases that exist on mobile devices and can be searched by keys in some local areas. It is these storages that underlie the two models of application services presented in the article that use the spatial proximity of mobile devices: direct messaging between devices without centralized control and the hyper-local Internet model.

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References

  1. Wi-Fi Direct. https://devopedia.org/wi-fi-direct. Accessed June 2022

  2. Schilit, B., Adams, N., Want, R.: Context-aware computing applications. In: 1994 First Workshop on Mobile Computing Systems and Applications. IEEE (1994)

    Google Scholar 

  3. Hazas, M., Scott, J., Krumm, J.: Location-aware computing comes of age. Computer 37(2), 95–97 (2004)

    Article  Google Scholar 

  4. Popescu, A.: Geolocation API specification. World Wide Web Consortium, Candidate Recommendation CR-geolocation-API-20100907 (2010)

    Google Scholar 

  5. Jafarnia-Jahromi, A., et al.: GPS vulnerability to spoofing threats and a review of antispoofing techniques. Int. J. Navig. Observ. 2012 (2012)

    Google Scholar 

  6. Zandbergen, P.A.: Accuracy of iPhone locations: a comparison of assisted GPS, WiFi and cellular positioning. Trans. GIS 13, 5–25 (2009)

    Article  Google Scholar 

  7. Namiot, D., Sneps-Sneppe, M.: Geofence and network proximity. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) ruSMART NEW2AN 2013 2013. LNCS, vol. 8121, pp. 117–127. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40316-3_11

    Chapter  Google Scholar 

  8. Pontikakos, C., et al.: Location-based services: a framework for an architecture design. Neural Parallel Sci. Comput. 14(2/3), 273 (2006)

    Google Scholar 

  9. Namiot, D.: Network spatial proximity between mobile devices. Int. J. Open Inf. Technol. 9(1), 80–85 (2021). (in Russian)

    Google Scholar 

  10. Namiot, D., Sneps-Sneppe, M.: On the new architecture of location-based services. In: 2021 29th Conference of Open Innovations Association (FRUCT). IEEE (2021)

    Google Scholar 

  11. Namiot, D.: Geo messages. In: International Congress on Ultra Modern Telecommunications and Control Systems. IEEE (2010)

    Google Scholar 

  12. Namiot, D., Schneps-Schneppe, M.: About location-aware mobile messages: expert system based on wifi spots. In: 2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies. IEEE (2011)

    Google Scholar 

  13. Gast, M.S.: Building Applications with IBeacon: Proximity and Location Services with Bluetooth Low Energy. O’Reilly Media, Inc. (2014)

    Google Scholar 

  14. Baert, M., et al.: The Bluetooth mesh standard: An overview and experimental evaluation. Sensors 18(8), 2409 (2018)

    Article  Google Scholar 

  15. Gvili, Y.: Security analysis of the COVID-19 contact tracing specifications by Apple Inc. and Google Inc. Cryptology ePrint Archive (2020)

    Google Scholar 

  16. Rebecchi, F., et al.: Data offloading techniques in cellular networks: a survey. IEEE Commun. Surv. Tutor. 17(2), 580–603 (2014)

    Article  Google Scholar 

  17. Yoon, S., et al.: Security analysis of vulnerable Wi-Fi Direct. In: 2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC). IEEE (2012)

    Google Scholar 

  18. Wi-Fi aware. https://www.wi-fi.org/discover-wi-fi/wi-fi-aware. Accessed June 2022

  19. Khan, M.A., et al.: Wi-Fi direct research-current status and future perspectives. J. Netw. Comput. Appl. 93, 245–258 (2017)

    Article  Google Scholar 

  20. How Interworking Works: A Detailed Look at 802.11u and Hotspot 2.0 Mechanisms. https://www.commscope.com/globalassets/digizuite/1528-1358-wp-how-interworking-works.pdf. Accessed June 2022

  21. Roe, B., Weast, J., Yarmosh, Y.: Web services dynamic discovery (ws-discovery). Technical report, Microsoft (2005)

    Google Scholar 

  22. Use Wi-Fi Direct (P2P) for service discovery. https://developer.android.com/training/connect-devices-wirelessly/nsd-wifi-direct. Accessed June 2022

  23. Stepanova, E.V.: Bluetooth Mesh in the IoT. Int. J. Open Inf. Technol. 10(2), 36–41 (2022). (in Russian)

    Google Scholar 

  24. Wi-Fi Adviser. https://github.com/EvaStt/WifiAdviser. Accessed June 2022

  25. Namiot, D., Sukhomlin, V.: Network proximity as a base for a new hyper-local Internet. Int. J. Open Inf. Technol. 10(4), 99–103 (2022)

    Google Scholar 

  26. Namiot, D., Sneps-Sneppe, M.: On search services for internet of things. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds.) DCCN 2017. CCIS, vol. 700, pp. 174–185. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66836-9_15

    Chapter  Google Scholar 

  27. Namiot, D., Sneps-Sneppe, M.: On physical web browser. In: 2016 18th Conference of Open Innovations Association and Seminar on Information Security and Protection of Information Technology (FRUCT-ISPIT). IEEE (2016)

    Google Scholar 

  28. Slabouzova, A., Namiot, D.: Physical browser: concept and overview of existing API solutions. Int. J. Open Inf. Technol. 9(11), 52–59 (2021). (in Russian)

    Google Scholar 

  29. Physical Browser. https://github.com/Anna-Sl/physical-browser-advanced.Accessed June 2022

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Correspondence to Dmitry Namiot .

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Namiot, D., Sneps-Sneppe, M., Sukhomlin, V. (2023). Local Services Based on Non-standard Wi-Fi Direct Usage Model. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2022. Lecture Notes in Computer Science, vol 13772. Springer, Cham. https://doi.org/10.1007/978-3-031-30258-9_44

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  • DOI: https://doi.org/10.1007/978-3-031-30258-9_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30257-2

  • Online ISBN: 978-3-031-30258-9

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