Abstract
This paper presents an efficient, battery-powered, low-cost, and context-aware IoT edge computing solution tailored for monitoring a real enterprise cooking oil collecting infrastructure. The presented IoT solution allows the collecting enterprise to monitor the amount of oil deposited in specific barrels, deployed country-wide around several partner restaurants. The paper focuses on the specification, implementation, deployment and testing of ESP32/ESP8266-based end-node components deployed as an edge computing monitoring infrastructure. The achieved low-cost solution guarantees more than a year of battery life, reliable data communication, and enables automatic over-the-air end-node updates. The open-source software libraries developed for this project are shared with the community and may be applied in scenarios with similar requirements.
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References
Al-Naamany, A.M., Meribout, M., Al Busaidi, K.: Design and implementation of a new nonradioactive-based machine for detecting oil–water interfaces in oil tanks. IEEE Trans. Instrum. Meas. 56(5), 1532–1536 (2007)
Bellavista, P., Berrocal, J., Corradi, A., Das, S.K., Foschini, L., Zanni, A.: A survey on fog computing for the Internet of Things. Pervasive Mob. Comput. 52, 71–99 (2019)
Espressif Systems. ESP8266EX Datasheet, Version. 6.2, August 2019
Flores-Cortez, O.O., Adalberto Cortez, R., Rosa, V.I.: A low-cost IoT system for environmental pollution monitoring in developing countries. In: 2019 MIXDES - 26th International Conference “Mixed Design of Integrated Circuits and Systems”, pp. 386–389, June 2019
Lagerqvist, A., Lakshminarayana, T.: IoT latency and power consumption: measuring the performance impact of MQTT and CoAP. Master’s thesis, Jönköping University, JTH, Computer Science and Informatics (2018)
Mesquita, J., Guimarães, D., Pereira, C., Santos, F., Almeida, L.: Assessing the ESP8266 WiFi module for the Internet of Things. In: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), vol. 1, pp. 784–791, September 2018
ISUS: Intelligent Sensing and Ubiquitous Systems. ESP operation mode management library (2019). https://code.ufp.pt/bruno.gomes/esp_fast_connect
Shahzad, K., Oelmann, B.: A comparative study of in-sensor processing vs. raw data transmission using ZigBee, BLE and Wi-Fi for data intensive monitoring applications. In: 2014 11th International Symposium on Wireless Communications Systems (ISWCS), pp. 519–524, August 2014
Shelby, Z., Frank, B., Sturek, D.: Constrained application protocol (CoAP). In: IETF Internet-Draft draft-ietf-core-coap-08, Work in Progress (2011). http://tools.ietf.org/html/draft-ietf-core-coap-08
Spanó, E., Di Pascoli, S., Iannaccone, G.: Low-power wearable ECG monitoring system for multiple-patient remote monitoring. IEEE Sens. J. 16(13), 5452–5462 (2016)
Tuan Tran, M.A., Le, T.N., Vo, T.P.: Smart-config WiFi technology using ESP8266 for low-cost wireless sensor networks. In: 2018 International Conference on Advanced Computing and Applications (ACOMP), pp. 22–28, November 2018
Acknowledgements
This work was funded by Project P-FECFP-HARDLEVEL-ISUS0001-2018 supported under the scope of a protocol established between Hardlevel - Energias Renováveis Lda and Fundação Ensino e Cultura Fernando Pessoa, represented here by its R&D group Intelligent Sensing and Ubiquitous Systems (ISUS).
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Gomes, B. et al. (2020). A Power Efficient IoT Edge Computing Solution for Cooking Oil Recycling. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_11
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DOI: https://doi.org/10.1007/978-3-030-45691-7_11
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