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

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dc.contributor.authorSrbinovski, Bruno
dc.contributor.authorMagno, Michele
dc.contributor.authorEdwards-Murphy, Fiona
dc.contributor.authorPakrashi, Vikram
dc.contributor.authorPopovici, Emanuel M.
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderIrish Research Councilen
dc.contributor.funderAnalog Devicesen
dc.date.accessioned2017-06-28T13:49:09Z
dc.date.available2017-06-28T13:49:09Z
dc.date.issued2016-03-28
dc.date.updated2017-06-28T13:40:14Z
dc.description.abstractWireless 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.sponsorshipScience Foundation Ireland (SFI Grant No. 12/RC/2302 MaREI)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSrbinovski, 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/s16040448en
dc.identifier.doi10.3390/s16040448
dc.identifier.endpage448-19en
dc.identifier.issn1424-8220
dc.identifier.issued4en
dc.identifier.journaltitleSensorsen
dc.identifier.startpage448-1en
dc.identifier.urihttps://hdl.handle.net/10468/4200
dc.identifier.volume14en
dc.language.isoenen
dc.publisherMDPIen
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.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAdaptive samplingen
dc.subjectEnergy harvestingen
dc.subjectEnergy managementen
dc.subjectPower hungry sensorsen
dc.subjectSolar energy harvestingen
dc.subjectWind energy harvestingen
dc.subjectWSNen
dc.titleAn energy aware adaptive sampling algorithm for energy harvesting WSN with energy hungry sensorsen
dc.typeArticle (peer-reviewed)en
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