The DOI matches its Crossref record.
Sensor Cloud: A Cloud of Virtual Sensors
Abstract
Newer models for interacting with wireless sensors such as Internet of Things and Sensor Cloud aim to overcome restricted resources and efficiency. The Missouri S&T (science and technology) sensor cloud enables different networks, spread in a huge geographical area, to connect together and be employed simultaneously by multiple users on demand. Virtual sensors, which are at the core of this sensor cloud architecture, assist in creating a multiuser environment on top of resource-constrained physical wireless sensors and can help in supporting multiple applications.
Overview
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Citations
Cited by
A Survey of Middleware for Sensor and Network Virtualization
Khalid, Z., Fisal, N., & Rozaini, M. (2014) · Sensors · doi:10.3390/s141224046 · Cited by 36
Metadata
- Authors
- Madria, S., Kumar, V., & Dalvi, R.
- Venue
- IEEE Software
- Published
- 2014-03
- Volume
- 31
- Issue
- 2
- Pages
- 70-77
- ISSN
- 0740-7459 (ISSN-L)
- OpenAlex
- W2092488511
- Cited by
- 194
- References
- 0
- FWCI
- 29.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Sensor Cloud: A Cloud of Virtual Sensors. https://app.cochat.ai/papers/10.1109/ms.2013.141
- The paper
- Madria, S., Kumar, V., & Dalvi, R. (2014). Sensor Cloud: A Cloud of Virtual Sensors. IEEE Software. https://doi.org/10.1109/ms.2013.141
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
