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Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications

Open access
Lazarescu, Mihai T.·2013·IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Abstract

The Internet of Things (IoT) provides a virtual view, via the Internet Protocol, to a huge variety of real life objects, ranging from a car, to a teacup, to a building, to trees in a forest. Its appeal is the ubiquitous generalized access to the status and location of any “thing” we may be interested in. Wireless sensor networks (WSN) are well suited for long-term environmental data acquisition for IoT representation. This paper presents the functional design and implementation of a complete WSN platform that can be used for a range of long-term environmental monitoring IoT applications. The application requirements for low cost, high number of sensors, fast deployment, long lifetime, low maintenance, and high quality of service are considered in the specification and design of the platform and of all its components. Low-effort platform reuse is also considered starting from the specifications and at all design levels for a wide array of related monitoring applications.

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Metadata

Authors
Lazarescu, M. T.
Venue
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Published
2013-03
Volume
3
Issue
1
Pages
45-54
ISSN
  • 2156-3357 (ISSN-L)
  • 2156-3365
OpenAlex
W2108395864
Cited by
611
References
0
FWCI
38.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications. https://app.cochat.ai/papers/10.1109/jetcas.2013.2243032
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Lazarescu, M. T. (2013). Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. https://doi.org/10.1109/jetcas.2013.2243032

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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