A wearable multi-sensor IoT network system for environmental monitoring

[en] People spend more than 90% of their time indoor in Australia. Poor indoor air quality can cause severe health problems to individuals. It is necessary to develop a reliable and wearable systems for environmental monitoring. This chapter presents a low-power wearable sensor node for environmental Internet of Things (IoT) applications, forming wireless sensor network (WSN) based on XBee. Environmental data are monitored by the wearable sensor node and then transmitted to a remote cloud server via WSN. The data are displayed to authorized users through a web-based application located in cloud server. The experimental results indicate that the presented wearable sensor network system is able to monitor environmental conditions reliably. © Springer Nature Switzerland AG 2019.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Wu, Fan; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Australia

Rüdiger, Christoph; Department of Civil Engineering, Monash University, Melbourne, VIC, Australia

Redouté, Jean-Michel ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes microélectroniques intégrés

Rasit Yuce, Mehmet; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Australia

Language :

English

Title :

A wearable multi-sensor IoT network system for environmental monitoring

Publication date :

2019

Main work title :

Advances in Body Area Networks I

Publisher :

Springer International Publishing

Pages :

29-38

Peer reviewed :

Peer reviewed

Funders :

ARC - Australian Research Council

Funding text :

M. R. Yuce’s work is supported by Australian Research Council Future Fellowships Grant FT130100430.

Available on ORBi :

since 01 April 2020

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Bibliography

Texas Instruments: PM 2.5/PM 10 particle sensor analog front-end for air quality monitoring design. Technical Report, May (2016)
Torfs, T., Sterken, T., Brebels, S., Santana, J., van den Hoven, R., Spiering, V., Bertsch, N., Trapani, D., Zonta, D.: Low power wireless sensor network for building monitoring. IEEE Sens. J. 13(3), 909–915 (2012)
Wu, F., Rüdiger, C., Yuce, M.R.: Real-time performance of a self-powered environmental IoT sensor network system. Sensors 17(2), 282 (2017)
Kim, J.Y., Chu, C.H., Shin, S.M.: ISSAQ: an integrated sensing systems for real-time indoor air quality monitoring. IEEE Sens. J. 14(12), 4230–4244 (2014)
Silvani, X., Morandini, F., Innocenti, E., Peres, S.: Evaluation of a wireless sensor network with low cost and low energy consumption for fire detection and monitoring. Fire Technol. 51(4), 971–993 (2015)
Jelicic, V., Magno, M., Brunelli, D., Paci, G., Benini, L.: Context-adaptive multimodal wireless sensor network for energy-efficient gas monitoring. IEEE Sens. J. 13(1), 328–338 (2013)
Wu, T., Wu, F., Redout, J.M., Yuce, M.R.: An autonomous wireless body area network implementation towards iot connected healthcare applications. IEEE Access 5, 11413–11422 (2017)
Antoln, D., Medrano, N., Calvo, B., Prez, F.: A wearable wireless sensor network for indoor smart environment monitoring in safety applications. Sensors 17(2) (2017)
Spiryakin, D., Baranov, A.: Uniform inbuilt wireless sensor node for working conditions monitoring. In: Proceedings of the Federated Conference on Computer Science and Information Systems, vol. 8, no. 1, pp. 1097–1102 (2016)
Manes, G., Collodi, G., Fusco, R., Gelpi, L., Manes, A.: A wireless sensor network for precise volatile organic compound monitoring. Int. J. Distrib. Sens. Netw. (2012)