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Benavente Peces, César and Gomes, Ruan D. and Gomes, Emerson B. and Fonseca, Iguatemi E. and Alencar, Marcelo S. (2018). Evaluation of Multi-Channel Communication for an Outdoor Industrial Wireless Sensor Network. In: "7th International Conference on Sensor Networks. SENSORNETS 2018", 22/01/2018-24/01/2028, Madeira, Portugal. ISBN 978-989-758-284-4. pp. 60-66. https://doi.org/10.5220/0006609200600066.
Title: | Evaluation of Multi-Channel Communication for an Outdoor Industrial Wireless Sensor Network |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 7th International Conference on Sensor Networks. SENSORNETS 2018 |
Event Dates: | 22/01/2018-24/01/2028 |
Event Location: | Madeira, Portugal |
Title of Book: | Proceedings of the 7th International Conference on Sensor Networks |
Date: | 2018 |
ISBN: | 978-989-758-284-4 |
Volume: | 1 |
Subjects: | |
Freetext Keywords: | Industrial Wireless Sensor Networks; Multi-channel Communication; Wireless Channel Characterization; Outdoor Industrial Environment |
Faculty: | E.T.S.I. y Sistemas de Telecomunicación (UPM) |
Department: | Teoría de la Señal y Comunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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This paper describes an experimental study which investigates relevant properties of multi-channel wireless communications in an outdoor industrial environment. A testbed of IEEE 802.15.4 radios was developed in order to evaluate the performance of the 16 channels defined by the standard, at all the nodes, simultaneously. From the collected data, some relevant facts are discussed, such as the spatial variations in channel quality, the differences in the characteristics of different channels, the link asymmetry, and the non-stationary characteristics of the channel. The possible problems that can arise in the deployment of industrial wireless sensor networks, based on the characteristics of the standards developed for this type of network, are described, as well as some possible solutions.
Item ID: | 55168 |
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DC Identifier: | https://oa.upm.es/55168/ |
OAI Identifier: | oai:oa.upm.es:55168 |
DOI: | 10.5220/0006609200600066 |
Official URL: | http://www.sensornets.org/?y=2018 |
Deposited by: | Memoria Investigacion |
Deposited on: | 13 Feb 2020 15:11 |
Last Modified: | 13 Feb 2020 15:11 |