An energy aware adaptive sampling algorithm for energy harvesting WSN with energy hungry sensors

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dc.contributor.author Srbinovski, Bruno
dc.contributor.author Magno, Michele
dc.contributor.author Edwards-Murphy, Fiona
dc.contributor.author Pakrashi, Vikram
dc.contributor.author Popovici, Emanuel
dc.date.accessioned 2017-06-28T13:49:09Z
dc.date.available 2017-06-28T13:49:09Z
dc.date.issued 2016-03-28
dc.identifier.citation Srbinovski, B., Magno, M., Edwards-Murphy, F., Pakrashi, V. and Popovici, E. (2016) 'An Energy Aware Adaptive Sampling Algorithm for Energy Harvesting WSN with Energy Hungry Sensors', Sensors, 16(4), 448. doi: 10.3390/s16040448 en
dc.identifier.volume 14 en
dc.identifier.issued 4 en
dc.identifier.startpage 448-1 en
dc.identifier.endpage 448-19 en
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10468/4200
dc.identifier.doi 10.3390/s16040448
dc.description.abstract Wireless sensor nodes have a limited power budget, though they are often expected to be functional in the field once deployed for extended periods of time. Therefore, minimization of energy consumption and energy harvesting technology in Wireless Sensor Networks (WSN) are key tools for maximizing network lifetime, and achieving self-sustainability. This paper proposes an energy aware Adaptive Sampling Algorithm (ASA) for WSN with power hungry sensors and harvesting capabilities, an energy management technique that can be implemented on any WSN platform with enough processing power to execute the proposed algorithm. An existing state-of-the-art ASA developed for wireless sensor networks with power hungry sensors is optimized and enhanced to adapt the sampling frequency according to the available energy of the node. The proposed algorithm is evaluated using two in-field testbeds that are supplied by two different energy harvesting sources (solar and wind). Simulation and comparison between the state-of-the-art ASA and the proposed energy aware ASA (EASA) in terms of energy durability are carried out using in-field measured harvested energy (using both wind and solar sources) and power hungry sensors (ultrasonic wind sensor and gas sensors). The simulation results demonstrate that using ASA in combination with an energy aware function on the nodes can drastically increase the lifetime of a WSN node and enable self-sustainability. In fact, the proposed EASA in conjunction with energy harvesting capability can lead towards perpetual WSN operation and significantly outperform the state-of-the-art ASA. en
dc.description.sponsorship Science Foundation Ireland (SFI Grant No. 12/RC/2302 MaREI) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI en
dc.rights © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Adaptive sampling en
dc.subject Energy harvesting en
dc.subject Energy management en
dc.subject Power hungry sensors en
dc.subject Solar energy harvesting en
dc.subject Wind energy harvesting en
dc.subject WSN en
dc.title An energy aware adaptive sampling algorithm for energy harvesting WSN with energy hungry sensors en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Vikram Pakrashi, Civil Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: v.pakrashi@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2017-06-28T13:40:14Z
dc.description.version Published Version en
dc.internal.rssid 342406944
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder Irish Research Council en
dc.contributor.funder Analog Devices en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Sensors en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress v.pakrashi@ucc.ie en


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© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). Except where otherwise noted, this item's license is described as © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
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