Abstract
In this article, we present a unified perspective on the cognitive internet of things (CIoT). It is noted that the CIoT design is the convergence of energy harvesting, cognitive spectrum access and mobile cloud computing technologies. We unify these distinct technologies into a CIoT architecture which provides a flexible, dynamic, scalable and robust network design road-map for a large scale IoT deployment. A general statistical framework is developed and new metrices are introduced so that the design space of the CIoT can be quantitatively explored in the future. A brief overview of both the energy and spectral performances of the CIoT network is presented and its possible future extensions are highlighted.
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Notes
- 1.
Sometimes implemented at inverter level rather than panel level .
- 2.
The HPPP assumption is reasonable in the context of CIoT as the objects are deployed by the user and are spatially distributed across the entire city.
- 3.
With a slight abuse of notation, \(\varvec{x}\in \mathbb {R}^{2}\) is employed to refer to the node’s location as well as the node itself.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zaidi, S.A.R. et al. (2015). Cognitive Internet of Things: A Unified Perspective (Invited Paper). In: Giaffreda, R., Cagáňová, D., Li, Y., Riggio, R., Voisard, A. (eds) Internet of Things. IoT Infrastructures. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-319-19743-2_30
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DOI: https://doi.org/10.1007/978-3-319-19743-2_30
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