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dc.contributor.authorKang, Byungseok
dc.contributor.authorNguyen, Phan
dc.contributor.authorZalyubouskiy, Vyacheslav
dc.contributor.authorChoo, Hyunseung
dc.date.accessioned2019-05-23T10:28:30Z
dc.date.available2019-05-23T10:28:30Z
dc.date.issued2017-04-07
dc.identifier.citationKang, B., Nguyen, P.K.H., Zalyubovskiy, V. and Choo, H., (2017). 'A distributed delay-efficient data aggregation scheduling for duty-cycled WSNs'. IEEE Sensors Journal, 17(11), pp.3422-3437. DOI:10.1109/JSEN.2017.2692246.en_US
dc.identifier.issn1530437X
dc.identifier.doi10.1109/JSEN.2017.2692246
dc.identifier.urihttp://hdl.handle.net/10545/623766
dc.description.abstractWith the growing interest in wireless sensor networks (WSNs), minimizing network delay and maximizing sensor (node) lifetime are important challenges. Since the sensor battery is one of the most precious resources in a WSN, efficient utilization of the energy to prolong the network lifetime has been the focus of much of the research on WSNs. For that reason, many previous research efforts have tried to achieve tradeoffs in terms of network delay and energy cost for such data aggregation tasks. Recently, duty-cycling technique, i.e., periodically switching ON and OFF communication and sensing capabilities, has been considered to significantly reduce the active time of sensor nodes and thus extend network lifetime. However, this technique causes challenges for data aggregation. In this paper, we present a distributed approach, named distributed delay efficient data aggregation scheduling (DEDAS-D) to solve the aggregation-scheduling problem in duty-cycled WSNs. The analysis indicates that our solution is a better approach to solve this problem. We conduct extensive simulations to corroborate our analysis and show that DEDAS-D outperforms other distributed schemes and achieves an asymptotic performance compared with centralized scheme in terms of data aggregation delay.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.urlhttps://ieeexplore.ieee.org/abstract/document/7894191en_US
dc.rights© 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectWireless sensor networksen_US
dc.subjectData scienceen_US
dc.titleA distributed delay-efficient data aggregation scheduling for duty-cycled WSNsen_US
dc.typeArticleen_US
dc.contributor.departmentSungkyunkwan Universityen_US
dc.identifier.journalIEEE Sensors Journalen_US
dcterms.dateAccepted2017-01-25
refterms.dateFOA2019-05-23T10:28:31Z
dc.author.detail786679en_US


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