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Protocol for Dynamic Load Distributed Low Latency Web-Based Augmented Reality and Virtual Reality

  • Conference paper
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Computational Intelligence in Communications and Business Analytics (CICBA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1956))

  • 139 Accesses

Abstract

The content entertainment industry is increasingly shifting towards Augmented Reality/Virtual Reality applications, leading to an exponential increase in computational demands on mobile devices. To address this challenge, this paper proposes a software solution that offloads the workload from mobile devices to powerful rendering servers in the cloud. However, this introduces the problem of latency, which can adversely affect the user experience. To tackle this issue, we introduce a new protocol that leverages AI-based algorithms to dynamically allocate the workload between the client and server based on network conditions and device performance. We compare our protocol with existing measures and demonstrate its effectiveness in achieving high-performance, low-latency Augmented Reality/Virtual Reality experiences.

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Authors and Affiliations

  1. Cochin University of Science and Technology, Kalamassery, Kochi, Kerala, India

    T P Rohit & Sasi Gopalan

  2. University of Washington, Seattle, WA, 98195, USA

    Sahil Athrij

Authors
  1. T P Rohit
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  2. Sahil Athrij
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  3. Sasi Gopalan
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Corresponding author

Correspondence to T P Rohit .

Editor information

Editors and Affiliations

  1. Kalyani Government Engineering College, Kalyani, India

    Kousik Dasgupta

  2. Assam University, Silchar, India

    Somnath Mukhopadhyay

  3. University of Kalyani, Kalyani, West Bengal, India

    Jyotsna K. Mandal

  4. Visvabharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

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Rohit, T.P., Athrij, S., Gopalan, S. (2024). Protocol for Dynamic Load Distributed Low Latency Web-Based Augmented Reality and Virtual Reality. In: Dasgupta, K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2023. Communications in Computer and Information Science, vol 1956. Springer, Cham. https://doi.org/10.1007/978-3-031-48879-5_10

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  • DOI: https://doi.org/10.1007/978-3-031-48879-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48878-8

  • Online ISBN: 978-3-031-48879-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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