LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications

Minghui Zhao; Stephen Xia; Jingping Nie; Kaiyuan Hou; Avik Dhupar; Xiaofan Jiang

doi:10.1145/3576842.3582369

LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications

Minghui Zhao, Stephen Xia, Jingping Nie, Kaiyuan Hou, Avik Dhupar, Xiaofan Jiang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Domain-specific sensor deployments are critical to enabling various IoT applications. Existing solutions for quickly deploying sensing systems require significant amount of work and time, even for experienced engineers. We propose LegoSENSE, a low-cost open-source and modular platform, built on top of the widely popular Raspberry Pi single-board computer, that makes it simple for anyone to rapidly set up and deploy a customized sensing solution for application specific IoT deployments. In addition, the ĝplug and play' and ĝmix and match' functionality of LegoSENSE makes the sensor modules reusable, and allows them to be mixed and matched to serve a variety of needs. We show, through a series of user studies, that LegoSENSE enables users without engineering background to deploy a wide range of applications up to 9 × faster than experienced engineers without the use of LegoSENSE. We open-source the hardware and software designs to foster an ever-evolving community, enabling IoT applications for enthusiasts, students, scientists, and researchers across various application domains with or without prior experiences with embedded platforms or coding.

Original language	English (US)
Title of host publication	Proceedings - 8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023
Publisher	Association for Computing Machinery
Pages	367-380
Number of pages	14
ISBN (Electronic)	9798400700378
DOIs	https://doi.org/10.1145/3576842.3582369
State	Published - May 9 2023
Event	8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023 - San Antonio, United States Duration: May 9 2023 → May 12 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023
Country/Territory	United States
City	San Antonio
Period	5/9/23 → 5/12/23

Funding

This research was partially supported by the National Science Foundation under Grant Numbers CNS-1704899, CNS-1815274, CNS-1943396, CNS-1837022, and CMMI-2218809, as well as COG-NISENSE, one of seven centers in JUMP 2.0, a Semiconductor Research Corporation (SRC) program sponsored by DARPA. The views and conclusions contained here are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Columbia University, NSF, SRC, DARPA, or the U.S. Government or any of its agencies.

Keywords

IoT
platform
plug and play system
rapid deployment
sensor

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3576842.3582369

Cite this

Zhao, M., Xia, S., Nie, J., Hou, K., Dhupar, A., & Jiang, X. (2023). LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications. In Proceedings - 8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023 (pp. 367-380). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3576842.3582369

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abstract = "Domain-specific sensor deployments are critical to enabling various IoT applications. Existing solutions for quickly deploying sensing systems require significant amount of work and time, even for experienced engineers. We propose LegoSENSE, a low-cost open-source and modular platform, built on top of the widely popular Raspberry Pi single-board computer, that makes it simple for anyone to rapidly set up and deploy a customized sensing solution for application specific IoT deployments. In addition, the ĝplug and play' and ĝmix and match' functionality of LegoSENSE makes the sensor modules reusable, and allows them to be mixed and matched to serve a variety of needs. We show, through a series of user studies, that LegoSENSE enables users without engineering background to deploy a wide range of applications up to 9 × faster than experienced engineers without the use of LegoSENSE. We open-source the hardware and software designs to foster an ever-evolving community, enabling IoT applications for enthusiasts, students, scientists, and researchers across various application domains with or without prior experiences with embedded platforms or coding.",

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Zhao, M, Xia, S, Nie, J, Hou, K, Dhupar, A & Jiang, X 2023, LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications. in Proceedings - 8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 367-380, 8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023, San Antonio, United States, 5/9/23. https://doi.org/10.1145/3576842.3582369

LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications. / Zhao, Minghui; Xia, Stephen; Nie, Jingping et al.
Proceedings - 8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023. Association for Computing Machinery, 2023. p. 367-380 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Zhao M, Xia S, Nie J, Hou K, Dhupar A, Jiang X. LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications. In Proceedings - 8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023. Association for Computing Machinery. 2023. p. 367-380. (ACM International Conference Proceeding Series). doi: 10.1145/3576842.3582369

LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications

Abstract

Publication series

Conference

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this