Krishnan, Abhilash, Simiscuka, Anderson Augusto ORCID: 0000-0002-0851-2452 and Muntean, Gabriel-Miro ORCID: 0000-0002-9332-4770 (2020) Performance analysis of an IoT platform with virtual reality and social media integration. In: 21st IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 31 Aug - 3 Sept 2020, Cork, Ireland (Virtual).
Abstract
The Internet of Things (IoT) is a growing network of physical objects where the devices are connected to the Internet through unique addressing schemes and multiple protocols. The increase of IoT devices in the recent years presents significant challenges in terms of security, authentication and usability. The recently introduced Social Internet of Things (SIoT) tries to address these challenges with the virtualisation of IoT devices and the use of an infrastructure where people and IoT devices can communicate with each other, both in the real-world and virtual-world, through a common platform. In the proposed SIoT architecture, IoT devices can be operated by virtual reality (VR) headsets and Twitter, a social media platform. The aim of the platform is to allow users to seamlessly operate IoT devices, using their preferred interface: remotely with text messages (i.e. tweets) and VR headsets or operate the IoT devices directly. This paper also describes the implementation of a testbed and presents the performance analysis of the solution, demonstrating its feasibility and low latency.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Social Internet of Things (SIoT); Virtual Reality; Network Performance |
Subjects: | Computer Science > Computer networks |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering Research Initiatives and Centres > INSIGHT Centre for Data Analytics |
Published in: | 2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM), Proceedings. . IEEE. |
Publisher: | IEEE |
Official URL: | http://dx.doi.org/10.1109/WoWMoM49955.2020.00074 |
Copyright Information: | © 2020 The Authors. |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | EU Horizon 2020 Research and Innovation programme under Grant Agreement no. 870610 for the TRACTION project, Science Foundation Ireland (SFI) Research Centres Programme Grant Numbers 12/RC/2289_P2 (Insight) and 16/SP/3804 (ENABLE) |
ID Code: | 24730 |
Deposited On: | 31 Aug 2020 12:13 by Anderson Augusto Simiscuka . Last Modified 11 Nov 2020 16:27 |
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