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

被引:1
作者
Zhao, Minghui [1 ]
Xia, Stephen [1 ]
Nie, Jingping [1 ]
Hou, Kaiyuan [1 ]
Dhupar, Avik [1 ]
Jiang, Xiaofan [1 ]
机构
[1] Columbia Univ, New York, NY 10027 USA
来源
PROCEEDINGS 8TH ACM/IEEE CONFERENCE ON INTERNET OF THINGS DESIGN AND IMPLEMENTATION, IOTDI 2023 | 2023年
基金
美国国家科学基金会;
关键词
sensor; platform; plug and play system; IoT; rapid deployment; INTERNET; THINGS;
D O I
10.1145/3576842.3582369
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 'plug and play' and 'mix 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 9x 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.
引用
收藏
页码:367 / 380
页数:14
相关论文
共 55 条
[41]  
SparkFun Electronics, 2022, Sparkfun Sensors
[42]  
STMicroelectronics, 2022, Datasheet: VL53L1X, A new generation, long distance ranging Time -of -Flight sensor based on ST's FlightSenseTM technology
[43]  
STMicroelectronics, 2017, Datasheet: 1- Kbit and 2- Kbit serial I2C bus EEPROMs
[44]  
TDK, 2015, Datasheet: ICS -40180 RF-Hardened, Low -Noise Microphone with Bottom Port and Analog Output
[45]  
TDK, 2015, Datasheet: MPU-6050 Six -Axis (Gyro + Accelerometer) MEMS MotionTrackingTM Devices
[46]  
Texas Instruments, 2019, Datasheet: TCA9548A Low -Voltage 8 -Channel I2C Switch with Reset
[47]  
Texas Instruments, 2018, Datasheet: ADS111x Ultra -Small, Low -Power, I2C-Compatible, 860-SPS,16 -Bit ADCs With Internal Reference, Oscillator, and Programmable Comparator
[48]   Wearable eye tracking for mental health monitoring [J].
Vidal, Melodie ;
Turner, Jayson ;
Bulling, Andreas ;
Gellersen, Hans .
COMPUTER COMMUNICATIONS, 2012, 35 (11) :1306-1311
[49]  
Wang Tianyu., 2012, P 12 WORKSHOP MOBILE, P1, DOI [10.1145/2162081.2162089, DOI 10.1145/2162081.2162089]
[50]   Energy Saving Recommendations and User Location Modeling in Commercial Buildings [J].
Wei, Peter ;
Xia, Stephen ;
Jiang, Xiaofan .
PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), 2018, :3-11