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Survey on wireless sensor network devices

Vieira, M.A.M., Coelho, C.N., da Silva, D.C., da Mata, J.M.·2004·EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696)

Abstract

Wireless sensor networks are networks of compact microsensors with wireless communication capability. These small devices are relatively cheap with the potential to be disseminated in large quantities. Emerging applications of data gathering range from the environmental to the military. As autonomous devices they can provide pervasive distributed and collaborative network of computer nodes. Architectural challenges are posed for designers such as computational power, energy consumption, energy sources, communication channels and sensing capabilities. Embedded Systems provide the computational platform for hardware and software components to interact with the environment and other nodes. This survey presents the current state-of-the-art for wireless sensor nodes, investigating and analyzing these challenges. We discuss the characteristics and requirements for a sensor node mainly processing, communications, power and sensing components. In this survey we present a comprehensive comparative study of sensor nodes platforms, energy management techniques, off-the-shelf microcontrollers, battery types and radio devices.

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Metadata

Authors
Vieira, M. A. M., Coelho, C. N., da Silva, D. C., & da Mata, J. M.
Venue
EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696)
Publisher
IEEE
Published
2004-03-30
Volume
1
Pages
537-544
OpenAlex
W1548561594
Cited by
378
References
0
FWCI
9.04
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Survey on wireless sensor network devices. https://app.cochat.ai/papers/10.1109/etfa.2003.1247753
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Vieira, M. A. M., Coelho, C. N., da Silva, D. C., & da Mata, J. M. (2004). Survey on wireless sensor network devices. EFTA 2003. 2003 IEEE Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.03TH8696). https://doi.org/10.1109/etfa.2003.1247753

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.