Systems that sustain themselves: Energy harvesting sensor nodes for monitoring the environment

Singh, K and Nayak, N and Kedilaya, AA and Prabhakar, TV and Kuri, J (2019) Systems that sustain themselves: Energy harvesting sensor nodes for monitoring the environment. In: 7th International Conference on Future Internet of Things and Cloud, FiCloud 2019, 26-28, August 2019, Istanbul, Turkey, pp. 270-277.

PDF int_con_fut_int_thi_clo_2019.pdf - Published Version Restricted to Registered users only Download (447kB) | Request a copy

Abstract

Battery-less sensor networks, that harvest energy from the ambient, have attracted much attention in the last few years due to the promise of low maintenance and untethered perpetual operation. However, the major challenge in such networks is that the availability of nodes in the network depends on the energy profile of their harvesting sources. This might affect network reliability. In this work, we study the suitability of Energy Harvesting Sensor (EHS) nodes, powered using light and vibrations, for a simple temperature monitoring application. We evaluate whether such an EHS node-based system can sustain itself and compare its performance with that of a traditional battery-based system. To economize on energy expenditure in the EHS system, we implement an Autoregressive (AR) model based adaptive sampling algorithm on the EHS nodes. After thorough experimental investigations, we conclude that the EHS node-based system fares quite well. Results show that adaptive sampling helps achieve energy savings of 62.12 and a 52.33 reduction in the amount of sampled data. © 2019 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings - 2019 International Conference on Future Internet of Things and Cloud, FiCloud 2019
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	cited By 0; Conference of 7th International Conference on Future Internet of Things and Cloud, FiCloud 2019 ; Conference Date: 26 August 2019 Through 28 August 2019; Conference Code:157267
Keywords:	Electric batteries; Energy conservation; Internet of things; Sensor networks; Sensor nodes, Adaptive sampling; Adaptive sampling algorithms; Auto regressive models; Energy harvesting sensors; Energy-harvesting sensor nodes; Experimental investigations; Network reliability; Temperature monitoring, Energy harvesting
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	14 Aug 2020 06:42
Last Modified:	14 Aug 2020 06:42
URI:	http://eprints.iisc.ac.in/id/eprint/64730

Actions (login required)

View Item