Singh, K and Shukla, P and Sachin, SM and Gnani, NK and Prabhakar, TV and Kuri, J (2020) Judicious data management for sustaining an energy harvesting sensor node. In: Concurrency Computation .
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Abstract
Perpetual lifetimes and low maintenance are few of the attractive aspects of sensor nodes that harvest ambient energy. However, their operation depends heavily on the energy profiles of their harvesting source(s). In this work, we study the suitability of energy harvesting sensor (EHS) Nodes, powered using indoor lighting and vibrations, for a simple temperature monitoring application. To help these nodes sustain, we have proposed schemes that allow the nodes to sample and transmit data judiciously. Along with an adaptive sampling based on autoregressive (AR) model, we have proposed a regulating function based transmission scheme that regulates the amount of transmitted data based on the energy available at the node and the characteristics of the data so that even with limited transmissions the fidelity of the data is not lost. With the help of thorough evaluations, we can conclude that an EHS node fares quite well. Results show that adaptive sampling and transmissions based on regulating function not only save energy at the sensor nodes, but they also reduce the amount of data generated and accumulated in a network. © 2020 John Wiley & Sons, Ltd.
Item Type: | Journal Article |
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Publication: | Concurrency Computation |
Publisher: | John Wiley and Sons Ltd |
Additional Information: | The copyright of this article belongs to John Wiley and Sons Ltd |
Keywords: | Information management; Sensor nodes, Adaptive sampling; Auto regressive models; Energy harvesting sensors; Energy-harvesting sensor nodes; Indoor lightings; Low maintenance; Temperature monitoring; Transmission schemes, Energy harvesting |
Department/Centre: | Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology) |
Date Deposited: | 17 Nov 2020 04:26 |
Last Modified: | 17 Nov 2020 04:26 |
URI: | http://eprints.iisc.ac.in/id/eprint/66692 |
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