Publications

Detailed Information

Do Not Lose Bandwidth: Adaptive Transmission Power and Multihop Topology Control

DC Field Value Language
dc.contributor.authorKim, Hyung-Sin-
dc.contributor.authorBahk, Saewoong-
dc.contributor.authorPaek, Jeongyeup-
dc.contributor.authorCuller, David E.-
dc.date.accessioned2024-05-14T08:06:54Z-
dc.date.available2024-05-14T08:06:54Z-
dc.date.created2024-03-15-
dc.date.issued2017-
dc.identifier.citation2017 13TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), Vol.2018-January, pp.99-108-
dc.identifier.issn2325-2936-
dc.identifier.urihttps://hdl.handle.net/10371/202145-
dc.description.abstractWe show that a multihop wireless network can achieve better bandwidth and routing stability when transmission power and routing topology are jointly and adaptively controlled. Our experiments show that the predominant 'fixed and uniform' transmission power strategy with 'link quality and hop distance'-based routing topology construction loses significant bandwidth due to hidden terminal and load imbalance problems. We design an adaptive and distributed control mechanism for transmission power and routing topology, PC-RPL, within the standard RPL routing protocol. We implement PC-RPL on real embedded devices and evaluate its performance on a 49-node multihop testbed. PC-RPL reduces total end to-end packet losses 7-fold without increasing hop distance compared to RPL with the highest transmission power at heavy load, resulting in 17% improvement in aggregate bandwidth and 64% for the worst-case node.-
dc.language영어-
dc.publisherIEEE-
dc.titleDo Not Lose Bandwidth: Adaptive Transmission Power and Multihop Topology Control-
dc.typeArticle-
dc.identifier.doi10.1109/DCOSS.2017.23-
dc.citation.journaltitle2017 13TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS)-
dc.identifier.wosid000425954700015-
dc.identifier.scopusid2-s2.0-85047354230-
dc.citation.endpage108-
dc.citation.startpage99-
dc.citation.volume2018-January-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Hyung-Sin-
dc.contributor.affiliatedAuthorBahk, Saewoong-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
dc.subject.keywordAuthorLow-power Lossy Network (LLN)-
dc.subject.keywordAuthorRPL-
dc.subject.keywordAuthorIPv6-
dc.subject.keywordAuthorBandwidth-
dc.subject.keywordAuthorLoad Balancing-
dc.subject.keywordAuthorTransmission Power-
dc.subject.keywordAuthorRouting-
Appears in Collections:
Files in This Item:
There are no files associated with this item.

Related Researcher

  • Graduate School of Data Science
Research Area Distributed machine learning, Edge, Mobile AI

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share