The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Survey on the Characterization and Classification of Wireless Sensor Network Applications
Open accessAbstract
Nowadays, wireless sensor network (WSN) users are demanding more and more in terms of choice and diversity of applications. Hence, as the diversity of applications is increasing, it is worthwhile to propose a structure for the set of characterization parameters that allows sketching a taxonomy for WSN applications. This taxonomy is established via an application-oriented approach, identifying the specific services offered by each application. In this survey, we fill this gap in the WSN literature by describing the characterization parameters, organized into six different categories. Our taxonomy for application classification is centered on the different sets of parameters that have high impact on a given future WSN application. Typical attributes and values from related research works are considered as a reference, but in this survey, we propose inter- and intra-connections among the considered application groups. Based on these connections, new application groups have been proposed for applications that share common characterization parameters, along with a holistic overview of WSN application taxonomy and the discussion of the three generations of WSNs toward communication between things and the Internet of Things, as well as future trends for the development of WSN applications. Moreover, detailed parameters from different projects and authors in the field of WSNs are joined together for comparison purposes.
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Cites
Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior
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Challenges, Applications, and Future of Wireless Sensors in Internet of Things: A Review
Jamshed, M. A., Ali, K., Abbasi, Q. H., Imran, M. A., & Ur-Rehman, M. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3148128 · Cited by 495
Optical Fiber Sensors and Sensing Networks: Overview of the Main Principles and Applications
Pendão, C., & Silva, I. (2022) · Sensors · doi:10.3390/s22197554 · Cited by 305
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Wang, Q., & Jiang, J. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2548360 · Cited by 182
Metadata
- Authors
- Borges, L. M., Velez, F. J., & Lebres, A. S.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2014
- Volume
- 16
- Issue
- 4
- Pages
- 1860-1890
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W1994311938
- Cited by
- 274
- References
- 55
- FWCI
- 32.36
- Type
- journal article
- Language
- en
- Open access
- green
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