Enhancing Indoor IoT Communication with Visible Light and Ultrasound

Michael Haus, Aaron Yi Ding, Qing Wang, Juhani Toivonen, Leonardo Tonetto, Sasu Tarkoma, Jorg Ott

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)
96 Downloads (Pure)


The number of deployed Internet of Things (IoT) devices is steadily increasing to manage and interact with community assets of smart cities, such as transportation systems and power plants. This may lead to degraded network performance due to the growing amount of network traffic and connections generated by various IoT devices. To tackle these issues, one promising direction is to leverage the physical proximity of communicating devices and inter-device communication to achieve low latency, bandwidth efficiency, and resilient services. In this work, we aim at enhancing the performance of indoor IoT communication (e.g., smart homes, SOHO) by taking advantage of emerging technologies such as visible light and ultrasound. This approach increases the network capacity, robustness of network connections across IoT devices, and provides efficient means to enable distance-bounding services. We have developed communication modules using off-the-shelf components for visible light and ultrasound and evaluate their network performance and energy consumption. In addition, we show the efficacy of our communication modules by applying them in a practical indoor IoT scenario to realize secure IoT group communication.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE International Conference on Communications, ICC 2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781538680889
Publication statusPublished - 2019
Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
Duration: 20 May 201924 May 2019


Conference2019 IEEE International Conference on Communications, ICC 2019


  • Edge computing
  • IoT
  • Multi-access
  • Proximity-aware device grouping
  • Ultrasound
  • Visible light

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