Adaptive energy management for solar energy harvesting wireless sensor nodes

Simple item page
buir.advisorAkar, Nail
dc.contributor.authorAydin, Abdul Kerim
dc.date.accessioned2018-10-03T13:15:01Z
dc.date.available2018-10-03T13:15:01Z
dc.date.copyright2018-09
dc.date.issued2018-09
dc.date.submitted2018-09-02
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University, 2018.en_US
dc.descriptionIncludes bibliographical references (leaves 42-48).en_US
dc.description.abstractWireless Sensor Networks (WSN) will have a key role in the upcoming era of the Internet of Things (IoT) as they will be forming the basis of communication infrastructure. Energy harvesting has been a widely used instrument for prolonging the battery life and enhancing the quality of service (QoS) of sensor nodes (SN). In this study, we investigate adaptive transmission policies for a solar-powered wireless sensor node which is tasked with sending status updates to a gateway as frequently as possible with energy-neutral operation constraints. On the basis of empirical data, we model the daily variations of the solar energy harvesting process with a Discrete Time Markov Chain (DTMC). When the number of states of the DTMC is increased, the harvesting process is modeled more accurately. Using the DTMC model, we formulate the energy management problem of the WSN node as a Markov Decision Process (MDP); and based on this model, we use the policy iteration algorithm to obtain optimal energy management policies so as to minimize the average Age of Information (AoI) of the corresponding status update system. We validate the effectiveness of the proposed approach using datasets belonging to two different locations with 20 years of solar radiance data.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityby Abdul Kerim Aydin.en_US
dc.format.extentix, 48 leaves : charts ; 30 cm.en_US
dc.identifier.itemidB159044
dc.identifier.urihttp://hdl.handle.net/11693/48073
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWireless Sensor Nodesen_US
dc.subjectSolar Energy Harvestingen_US
dc.subjectMarkov Decision Processen_US
dc.subjectBattery Managementen_US
dc.subjectDiscrete-Time Markov Chainen_US
dc.subjectAge Of İnformationen_US
dc.subjectDuty Cyclingen_US
dc.titleAdaptive energy management for solar energy harvesting wireless sensor nodesen_US
dc.title.alternativeGüneş enerjisi harmanlayan kablosuz algılama düğümleri için uyarlamalı enerji yönetimien_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
10213013.pdf.pdf
Size:
828.61 KB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Dept. of Electrical and Electronics Engineering - Master's degree