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dc.contributor.authorAkgun, B.en_US
dc.contributor.authorAykin I.en_US
dc.date.accessioned2016-02-08T12:09:25Z
dc.date.available2016-02-08T12:09:25Z
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/11693/28042
dc.description.abstractThe clustering algorithms designed for traditional sensor networks have been adapted for energy harvesting sensor networks (EHWSN). However, in these algorithms, the intra-cluster MAC protocols to be used were either not defined at all or they were TDMA based. These TDMA based MAC protocols are not specified except for the fact that cluster heads assign time slots to their members in a random manner. In this paper, we will modify this TDMA based scheduling as follows: members will request a time slot depending on their energy prediction and the cluster heads will assign these slots to members. This method will increase the network lifetime. The proof will be given with simulations. © 2013 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title2013 4th Annual International Conference on Energy Aware Computing Systems and Applications, ICEAC 2013en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICEAC.2013.6737627en_US
dc.subjectClusteringen_US
dc.subjectEnergy Harvestingen_US
dc.subjectEnvironmental Energyen_US
dc.subjectSensor Networksen_US
dc.subjectTDMAen_US
dc.subjectClustering algorithmsen_US
dc.subjectMedium access controlen_US
dc.subjectSchedulingen_US
dc.subjectSensor networksen_US
dc.subjectTime division multiple accessen_US
dc.subjectWireless sensor networksen_US
dc.subjectClusteringen_US
dc.subjectEnergy harvesting sensorsen_US
dc.subjectEnergy predictionen_US
dc.subjectEnvironmental energyen_US
dc.subjectIntra-clusteren_US
dc.subjectMAC protocolen_US
dc.subjectNetwork lifetimeen_US
dc.subjectPrediction-baseden_US
dc.subjectEnergy harvestingen_US
dc.titleEHPBS: Energy harvesting prediction based scheduling in wireless sensor networksen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage1en_US
dc.citation.epage5en_US
dc.identifier.doi10.1109/ICEAC.2013.6737627en_US
dc.publisherIEEE Computer Societyen_US


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