Modular and Reconfigurable Sensing Platforms

Overview of strengths and features of LegoSENSE compared to existing platforms.
Overview of strengths and features of LegoSENSE compared to existing platforms.

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, regardless of technical background, to rapidly set up and deploy a customized sensing solution for application specific IoT deployments. We open-source all designs to allow developers to easily incorporate new sensors and modules into the ecosystem.

Hardware architecture.
Hardware architecture.

LegoSENSE can accommodate up to four different modules comes equipped with a standard hardware interface that abstracts out the need for users to understand how to wire and connect sensors; all slots can support common communication protocols, such as analog, GPIO, I2C, and SPI.

Software architecture.
Software architecture.

LegoSENSE leverages software drivers to detect and communicate with sensors on-the-fly. Users can easily configure the sensor (e.g., sampling rate) through an interface that does not require any coding. Additionally, developers can easily add drivers to enable LegoSENSE to support new sensors.

Publications

2023

LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications
LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications
Minghui Zhao, Stephen Xia, Jingping Nie, Kaiyuan Hou, Avik Dhupar, Xiaofan Jiang
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation   ·   09 May 2023   ·   doi:10.1145/3576842.3582369

2022

A modular and reconfigurable sensing and actuation platform for smarter environments and drones
A modular and reconfigurable sensing and actuation platform for smarter environments and drones
Minghui Zhao, Yanchen Liu, Avik Dhupar, Kaiyuan Hou, Stephen Xia, Xiaofan Jiang
Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services   ·   27 Jun 2022   ·   doi:10.1145/3498361.3538667