Occupancy Estimation Using Low-Cost Wi-Fi Sniffers

Autor:	Galluzzi, Paolo, Longo, Edoardo, Redondi, Alessandro E. C., Cesana, Matteo
Rok vydání:	2019
Předmět:	Computer Science - Networking and Internet Architecture Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	Real-time measurements on the occupancy status of indoor and outdoor spaces can be exploited in many scenarios (HVAC and lighting system control, building energy optimization, allocation and reservation of spaces, etc.). Traditional systems for occupancy estimation rely on environmental sensors (CO2, temperature, humidity) or video cameras. In this paper, we depart from such traditional approaches and propose a novel occupancy estimation system which is based on the capture of Wi-Fi management packets from users' devices. The system, implemented on a low-cost ESP8266 microcontroller, leverages a supervised learning model to adapt to different spaces and transmits occupancy information through the MQTT protocol to a web-based dashboard. Experimental results demonstrate the validity of the proposed solution in four different indoor university spaces. Comment: Submitted to Balkancom 2018
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1905.06809 Zobrazit plný text záznamu View this record from Arxiv