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Sensor placement and resource allocation for energy harvesting IoT networks

Bushnaq, OM and Chaaban, A and Chepuri, SP and Leus, G and Al-Naffouri, TY (2020) Sensor placement and resource allocation for energy harvesting IoT networks. In: Digital Signal Processing: A Review Journal .

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Official URL: http://dx.doi.org/10.1016/j.dsp.2020.102659


Optimal sensor selection for source parameter estimation in energy harvesting Internet of Things (IoT) networks is studied in this paper. Specifically, the focus is on the selection of the sensor locations which minimizes the estimation error at a fusion center, and to optimally allocate power and bandwidth for each selected sensor subject to a prescribed spectral and energy budget. To do so, measurement accuracy, communication link quality, and the amount of energy harvested are all taken into account. The sensor selection is studied under both analog and digital transmission schemes from the selected sensors to the fusion center. In the digital transmission case, an information theoretic approach is used to model the transmission rate, observation quantization, and encoding. We numerically prove that with a sufficient system bandwidth, the digital system outperforms the analog system with a possibly different sensor selection. The design problem of interest is a Boolean non convex optimization problem, which is solved by relaxing the Boolean constraints. To efficiently round the obtained relaxed solution, we propose a randomized rounding algorithm which generalizes the existing algorithm.

Item Type: Journal Article
Publication: Digital Signal Processing: A Review Journal
Publisher: Elsevier Inc.
Additional Information: Copyright of this article belongs to Elsevier Inc.
Keywords: Bandwidth; Budget control; Convex optimization; Data transfer; Energy harvesting; Signal processing; Wireless sensor networks, Communication link quality; Digital transmission; Information-theoretic approach; Internet of Things (IOT); Measurement accuracy; Nonconvex optimization; Sensor selection; Source estimation, Internet of things
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 18 Feb 2020 10:31
Last Modified: 18 Feb 2020 10:31
URI: http://eprints.iisc.ac.in/id/eprint/64546

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