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Mixed Reality Applications Powered by IoE and Edge Computing: A Survey

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Internet of Things—Applications and Future

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 114))

Abstract

IoT field is continuously evolving to cope with the tremendous number of applications that satisfy the user needs. IoT is implemented by physical objects with virtual representations and services. Augmented reality provides the user with a simple interacting interface to applications. The merge between IoT and augmented reality is a realistic consequence of the need to handle the IoT components in non-traditional methods. This merge facilitates the user to interact with the physical components while receiving additional context-aware information about the object. The existing IoT augmented solutions are facing problems in connectivity, security, trustworthiness, latency, throughput, and ultra-reliable, which necessitate using edge computing to assist in solving these problems. In this paper, we shed some light on these topics and the trends of current solutions combining these fields.

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References

  1. https://developer.apple.com/augmented-reality/. Accessed 18 June 2019.

  2. https://developer.vuforia.com/. Accessed 18 June 2019.

  3. Khan, W.Z., E. Ahmed, S. Hakak, et al. 2019. Edge computing: A survey. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2019.02.050.

    Article  Google Scholar 

  4. Bilal, Kashif, Osman Khalid, Aiman Erbad, and Samee U. Khan. 2017. Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers. Computer Networks. https://doi.org/10.1016/j.comnet.2017.10.002.

    Article  Google Scholar 

  5. Qiao, X., P. Ren, S. Dustdar, L. Liu, H. Ma, and J. Chen. 2019. Web AR: A promising future for mobile augmented reality—State of the art, challenges, and insights. Proceedings of the IEEE 107 (4): 651–666. https://doi.org/10.1109/JPROC.2019.2895105.

    Article  Google Scholar 

  6. https://iot-analytics.com/state-of-the-iot-update-q1-q2-2018-number-of-iot-devices-now-7b/. Accessed 18 June 2019.

  7. Milgram, P., and F. Kishino. 1994. A taxonomy of mixed reality visual displays. IEICE Transactions on Information and Systems 77(12):1321–1329.

    Google Scholar 

  8. https://www.vive.com/eu/. Accessed 18 June 2019.

  9. https://www.oculus.com/rift/. Accessed 18 June 2019.

  10. https://www.microsoft.com/en-us/hololens. Accessed 18 June 2019.

  11. https://www.google.com/glass/ Accessed 18 June 2019.

  12. https://thetechrevolutionist.com/2017/09/huaweis-neural-processing-unit-npu-and.html. Accessed 18 June 2019.

  13. Ning, Z., J. Huang, and X. Wang. 2019. Vehicular fog computing: Enabling real-time traffic management for smart cities. IEEE Wireless Communications 26 (1): 87–93. https://doi.org/10.1109/MWC.2019.1700441.

    Article  Google Scholar 

  14. https://newsroom.cisco.com/ioe. Accessed 18 June 2019.

  15. Mahmud, R., R. Kotagiri, and R. Buyya. 2018. Fog computing: A taxonomy, survey and future directions. In Internet of Everything. Internet of Things (Technology, communications and computing). Singapore: Springer.

    Google Scholar 

  16. Dizdarević, Jasenka, Francisco Carpio, Admela Jukan, and Xavi Masip-Bruin. 2019. A survey of communication protocols for Internet of Things and related challenges of fog and cloud computing integration. ACM Computer Survey 51 (6).

    Google Scholar 

  17. Ray, P.P., D. Dash, and D. De. 2019. Edge computing for Internet of Things: A survey, e-healthcare case study and future direction. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2019.05.005.

    Article  Google Scholar 

  18. Akrivopoulos, O., N. Zhu, D. Amaxilatis, C. Tselios, A. Anagnostopoulos, and I. Chatzigiannakis. 2018. A fog computing-oriented, highly scalable IoT framework for monitoring public educational buildings. In 2018 IEEE international conference on communications (ICC), 1–6. Kansas City, MO. https://doi.org/10.1109/icc.2018.8422489.

  19. S. Lanka, S. Ehsan, and A. Ehsan. 2017. A review of research on emerging technologies of the Internet of Things and augmented reality. In 2017 international conference on IoT in social, mobile, analytics and cloud.

    Google Scholar 

  20. Jo, D., and G.J. Kim. 2016. In-situ AR manuals for IoT appliances. In 2016 IEEE international conference on consumer electronics (ICCE).

    Google Scholar 

  21. Jo, D., and G.J. Kim. 2016. ARIoT: Scalable augmented reality framework for interacting with Internet of Things appliances everywhere. IEEE Transactions on Consumer Electronics 62(3):334–410.

    Article  Google Scholar 

  22. Baskaran, S., and H.K. Nagabushanam. 2018. Relational localization based augmented reality interface for IOT applications. In 2018 international conference on information and communication technology convergence (ICTC), 103–106. Jeju. https://doi.org/10.1109/ictc.2018.8539469.

  23. Cao, Yuanzhi, Zhuangying Xu, Fan Li, Wentao Zhong, Ke Huo, and Karthik Ramani. 2019. V. Ra: An in-situ visual authoring system for robot-IoT task planning with augmented reality, 1–6. https://doi.org/10.1145/3290607.3312797.

  24. Burkhard Hoppenstedt, Michael Schmid, Kammerer Kammerer, Joachim Scholta, Manfred Reichert, and Rüdiger Pryss. 2019. Analysis of fuel cells utilizing mixed reality and IoT achievements. In 6th international conference on augmented reality, virtual reality and computer graphics (SALENTO AVR 2019), June 24–27. Italy: Santa Maria al Bagno.

    Google Scholar 

  25. Lochhead, Ian, and Nick Hedley. 2019. Mixed reality emergency management: Bringing virtual evacuation simulations into real-world built environments. International Journal of Digital Earth 12 (2): 190–208. https://doi.org/10.1080/17538947.2018.1425489.

  26. Ren, Jinke, Yinghui He, Guan Huang, Guanding Yu, Yunlong Cai, and Zhaoyang Zhang. 2019. An edge-computing based architecture for mobile augmented reality. IEEE Network: 12–19. https://doi.org/10.1109/mnet.2018.1800132.

  27. Qiao, X., P. Ren, S. Dustdar, and J. Chen. 2018. A new era for web AR with mobile edge computing. IEEE Internet Computing 22(4):46–55. https://doi.org/10.1109/MIC.2018.043051464.

    Article  Google Scholar 

  28. Fernández-Caramés, Tiago, Paula Fraga-Lamas, Manuel Suárez-Albela, and Miguel Vilar-Montesinos. 2018. A fog computing and cloudlet based augmented reality system for the industry 4.0 shipyard. Sensors 18. https://doi.org/10.3390/s18061798.

  29. Erol Kantarci, Melike, and Sukhmani Sukhmani. 2018. Caching and computing at the edge for mobile augmented reality and virtual reality (AR/VR) in 5G. https://doi.org/10.1007/978-3-319-74439-1_15.

  30. Makolkina, M., V.D. Pham, R. Kirichek, A. Gogol, and A. Koucheryavy. 2018. Interaction of AR and IoT applications on the basis of hierarchical cloud services. In Internet of things, smart spaces, and next generation networks and systems, ed. O. Galinina, S. Andreev, S. Balandin, Y. Koucheryavy, vol. 11118. NEW2AN 2018, ruSMART 2018. Lecture Notes in Computer Science. Cham: Springer.

    Google Scholar 

  31. Morabito, R., V. Cozzolino, A.Y. Ding, N. Beijar, and J. Ott. 2018. Consolidate IoT edge computing with lightweight virtualization. IEEE Network 32 (1): 102–111. https://doi.org/10.1109/mnet.2018.1700175.

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Author information

Authors and Affiliations

  1. Computer Engineering and Control Engineering Department, Faculty of Engineering, Tanta University, Tanta, Egypt

    Mohamed Elawady & Amany Sarhan

  2. Computer Engineering Department, Behera High Institute, Behera, Egypt

    Mohamed Elawady

Authors
  1. Mohamed Elawady
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  2. Amany Sarhan
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Corresponding author

Correspondence to Mohamed Elawady .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Helwan University, Helwan, Egypt

    Atef Zaki Ghalwash

  2. Information and Computer Systems Department, Dean Sadat Academy, Cairo, Egypt

    Nashaat El Khameesy

  3. French University in Egypt, Cairo, Egypt

    Dalia A. Magdi

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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Elawady, M., Sarhan, A. (2020). Mixed Reality Applications Powered by IoE and Edge Computing: A Survey. In: Ghalwash, A., El Khameesy, N., Magdi, D., Joshi, A. (eds) Internet of Things—Applications and Future. Lecture Notes in Networks and Systems, vol 114. Springer, Singapore. https://doi.org/10.1007/978-981-15-3075-3_9

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