Green-Frag: Energy-efficient frame fragmentation scheme for wireless sensor networks

Handle URI:
http://hdl.handle.net/10754/362464
Title:
Green-Frag: Energy-efficient frame fragmentation scheme for wireless sensor networks
Authors:
Daghistani, Anas; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
Frame fragmentation techniques aim to achieve higher throughput by reducing retransmissions. Using experiments on a WSN testbed, we show that frame fragmentation also helps to reduce energy consumption. In this paper we propose Green-Frag, a new energy-efficient protocol based on efficient frame fragmentation technique. Green-Frag allows sensor nodes to transmit data with optimal transmit power and frame structure based on environmental conditions. Green-Frag takes into consideration the channel conditions, interference patterns and level, as well as the distance between sender and receiver. The paper discusses various design and implementation considerations for Green-Frag. Using experimental evaluation on a sensor mote testbed, we show that Green-Frag achieves the least energy consumption by choosing the best transmit power according to the channel conditions.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Conference/Event name:
2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013
Issue Date:
Oct-2013
DOI:
10.1109/WiMOB.2013.6673399
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6673399
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorDaghistani, Anasen
dc.contributor.authorShihada, Basemen
dc.date.accessioned2015-04-09T06:44:10Zen
dc.date.available2015-04-09T06:44:10Zen
dc.date.issued2013-10en
dc.identifier.doi10.1109/WiMOB.2013.6673399en
dc.identifier.urihttp://hdl.handle.net/10754/362464en
dc.description.abstractFrame fragmentation techniques aim to achieve higher throughput by reducing retransmissions. Using experiments on a WSN testbed, we show that frame fragmentation also helps to reduce energy consumption. In this paper we propose Green-Frag, a new energy-efficient protocol based on efficient frame fragmentation technique. Green-Frag allows sensor nodes to transmit data with optimal transmit power and frame structure based on environmental conditions. Green-Frag takes into consideration the channel conditions, interference patterns and level, as well as the distance between sender and receiver. The paper discusses various design and implementation considerations for Green-Frag. Using experimental evaluation on a sensor mote testbed, we show that Green-Frag achieves the least energy consumption by choosing the best transmit power according to the channel conditions.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6673399en
dc.rights(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.en
dc.titleGreen-Frag: Energy-efficient frame fragmentation scheme for wireless sensor networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)en
dc.conference.date7 October 2013 through 9 October 2013en
dc.conference.name2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013en
dc.conference.locationLyonen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorDaghistani, Anas H.en
kaust.authorShihada, Basemen
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