Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil
Jó Ueyama
1, 2
,
Bruno S. Faiçal
1
,
Leandro Yukio Mano Alves
3
,
Guilherme Bayer
3
,
Gustavo Pessin
4
,
Pedro Gomes
5
Publication type: Journal Article
Publication date: 2017-09-01
scimago Q1
wos Q1
SJR: 2.523
CiteScore: 16.6
Impact factor: 8.3
ISSN: 01989715, 18737587
General Environmental Science
Geography, Planning and Development
Urban Studies
Ecological Modeling
Abstract
Several adaptive systems have been proposed that are based on the concepts of smart cities, which can be successfully adapted to natural disasters or other public safety concerns. Since these systems are embedded in a critical and dynamic environment, it is really important to have an infrastructure that is capable of providing real-time environmental information. This paper discusses two research questions that arise from adaptive ubicomp systems: (i) what are the key requirements to provide a reliable WSN-based system (e.g. a river monitoring system)? and (ii) how can an adaptable and reliable WSN-based system be developed? This paper seeks to respond to the former question with the aid of the RESS standard platform. The latter question is answered by employing a generic approach for adaptation. The term “critical systems”, means that any error may result in the loss of human life. We devised the RESS standard after deploying the WSN-based river monitoring system in Brazil for five years. Our prototype underwent several trials, sometimes leading to failure or damage, before we came up with a more reliable solution, which is outlined in this article. Finally, while our RESS platform is policy-free, it is extensible/adaptable and hence can naturally be adapted to new policies.
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Total citations:
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Citations from 2024:
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Ueyama J. et al. Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil // Computers, Environment and Urban Systems. 2017. Vol. 65. pp. 41-52.
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Ueyama J., Faiçal B. S., Alves L. Y. M., Bayer G., Pessin G., Gomes P. Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil // Computers, Environment and Urban Systems. 2017. Vol. 65. pp. 41-52.
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RIS
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TY - JOUR
DO - 10.1016/j.compenvurbsys.2017.05.001
UR - https://doi.org/10.1016/j.compenvurbsys.2017.05.001
TI - Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil
T2 - Computers, Environment and Urban Systems
AU - Ueyama, Jó
AU - Faiçal, Bruno S.
AU - Alves, Leandro Yukio Mano
AU - Bayer, Guilherme
AU - Pessin, Gustavo
AU - Gomes, Pedro
PY - 2017
DA - 2017/09/01
PB - Elsevier
SP - 41-52
VL - 65
SN - 0198-9715
SN - 1873-7587
ER -
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BibTex (up to 50 authors)
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@article{2017_Ueyama,
author = {Jó Ueyama and Bruno S. Faiçal and Leandro Yukio Mano Alves and Guilherme Bayer and Gustavo Pessin and Pedro Gomes},
title = {Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil},
journal = {Computers, Environment and Urban Systems},
year = {2017},
volume = {65},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.compenvurbsys.2017.05.001},
pages = {41--52},
doi = {10.1016/j.compenvurbsys.2017.05.001}
}