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dc.contributor.authorYeoum, Sanggil*
dc.contributor.authorKang, Byungseok*
dc.contributor.authorLee, Jinkyu*
dc.contributor.authorChoo, Hyunseung*
dc.date.accessioned2019-05-04T11:26:49Z
dc.date.available2019-05-04T11:26:49Z
dc.date.issued2017-05-04
dc.identifier.citationYeoum, S. et al. (2017) 'Channel and timeslot co-scheduling with minimal channel switching for data aggregation in MWSNs', Sensors, 17(5), pp.1-16. doi: 10.3390/s17051030.en_US
dc.identifier.issn1424-8220
dc.identifier.doi10.3390/s17051030
dc.identifier.urihttp://hdl.handle.net/10545/623730
dc.description.abstractCollision-free transmission and efficient data transfer between nodes can be achieved through a set of channels in multichannel wireless sensor networks (MWSNs). While using multiple channels, we have to carefully consider channel interference, channel and time slot (resources) optimization, channel switching delay, and energy consumption. Since sensor nodes operate on low battery power, the energy consumed in channel switching becomes an important challenge. In this paper, we propose channel and time slot scheduling for minimal channel switching in MWSNs, while achieving efficient and collision-free transmission between nodes. The proposed scheme constructs a duty-cycled tree while reducing the amount of channel switching. As a next step, collision-free time slots are assigned to every node based on the minimal data collection delay. The experimental results demonstrate that the validity of our scheme reduces the amount of channel switching by 17.5%, reduces energy consumption for channel switching by 28%, and reduces the schedule length by 46%, as compared to the existing schemes.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.urlhttps://www.mdpi.com/1424-8220/17/5/1030en_US
dc.subjectWireless sensor networksen_US
dc.subjectNetworkingen_US
dc.titleChannel and timeslot co-scheduling with minimal channel switching for data aggregation in MWSNs.en_US
dc.typeArticleen_US
dc.identifier.eissn1424-8220
dc.contributor.departmentSungkyunkwan Universityen_US
dc.identifier.journalSensorsen_US
dcterms.dateAccepted2017-05-01
refterms.dateFOA2019-05-04T11:26:49Z
dc.author.detail786679en_US


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