LabSensing: Um Sistema de Sensoriamento para Laboratórios Científicos com Computação Inteligente nas Bordas
Abstract
This paper proposes LabSensing, a distributed sensing system for scientific laboratory monitoring. LabSensing employs an asynchronous communication strategy to transfer data and reduces the traffic injected in the network using policies to eliminate redundant data at the edges. The technical motivations leading to tools selection, as well as the design and development of the system taking into account the proposed architecture are discussed. Experimental results show the operation of the system and the impact obtained using edge computing to reduce the network data load.
References
Bochie, K. (2019). Labsensing. https://github.com/kaylani2.
Eclipse, F. (2019). Eclipse Mosquitto. https://mosquitto.org/.
InfluxData (2019). Influxdata. https://www.influxdata.com/. Acessado em 19/03/2019.
Kodali, R. K. e Gorantla, V. S. K. (2017). Weather tracking system using MQTT and SQLite. Em 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), p. 205-208.
Oasis (2014). MQTT Version 3.1.1. Relatório técnico, Oasis.
Saha, S. e Majumdar, A. (2017). Data centre temperature monitoring with ESP8266 based Wireless Sensor Network and cloud based dashboard with real time alert system. Em 2017 Devices for Integrated Circuit (DevIC), p. 307-310.
Shi, W., Cao, J., Zhang, Q., Li, Y. e Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5):637-646.
