Green partial packet recovery in wireless sensor networks

Handle URI:
http://hdl.handle.net/10754/575500
Title:
Green partial packet recovery in wireless sensor networks
Authors:
Daghistani, Anas; Ben Khalifa, Abderrahman; Showail, Ahmad ( 0000-0001-6026-9739 ) ; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
Partial packet recovery is well known for increasing network throughput and reducing frame retransmissions. However, partial packet recovery methods in the literature are not energy-aware and hence they are not suitable for the battery powered wireless sensor motes. We propose Green-Frag, a novel adaptive partial packet recovery mechanism that is energy friendly. It can help prolonging the battery life of wireless sensor motes that are usually resource constrained. It dynamically partitions the frame into smaller blocks to avoid dropping the whole frame due to a single bit error. Also, Green-Frag is able to tolerate high interference and save energy by varying the transmit power based on channel quality and interference pattern. We experimentally evaluate the energy efficiency as well as goodput and delay of Green-Frag using our TelosB sensor mote testbed. We find that Green-Frag reduces energy consumption by 33% on average compared to the state of the art partial packet recovery scheme in the literature in the presence of Wi-Fi interference. In the worst case, this reduction in energy consumption comes at the cost of 10% reduction in goodput. Finally, Green-Frag reduces the latency by 22% on average compared to other static frame fragmentation schemes.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Green partial packet recovery in wireless sensor networks 2015 Journal of Network and Computer Applications
Publisher:
Elsevier BV
Journal:
Journal of Network and Computer Applications
Issue Date:
18-Aug-2015
DOI:
10.1016/j.jnca.2015.08.006
Type:
Article
ISSN:
10848045
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1084804515001915
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorDaghistani, Anasen
dc.contributor.authorBen Khalifa, Abderrahmanen
dc.contributor.authorShowail, Ahmaden
dc.contributor.authorShihada, Basemen
dc.date.accessioned2015-08-23T07:23:57Zen
dc.date.available2015-08-23T07:23:57Zen
dc.date.issued2015-08-18en
dc.identifier.citationGreen partial packet recovery in wireless sensor networks 2015 Journal of Network and Computer Applicationsen
dc.identifier.issn10848045en
dc.identifier.doi10.1016/j.jnca.2015.08.006en
dc.identifier.urihttp://hdl.handle.net/10754/575500en
dc.description.abstractPartial packet recovery is well known for increasing network throughput and reducing frame retransmissions. However, partial packet recovery methods in the literature are not energy-aware and hence they are not suitable for the battery powered wireless sensor motes. We propose Green-Frag, a novel adaptive partial packet recovery mechanism that is energy friendly. It can help prolonging the battery life of wireless sensor motes that are usually resource constrained. It dynamically partitions the frame into smaller blocks to avoid dropping the whole frame due to a single bit error. Also, Green-Frag is able to tolerate high interference and save energy by varying the transmit power based on channel quality and interference pattern. We experimentally evaluate the energy efficiency as well as goodput and delay of Green-Frag using our TelosB sensor mote testbed. We find that Green-Frag reduces energy consumption by 33% on average compared to the state of the art partial packet recovery scheme in the literature in the presence of Wi-Fi interference. In the worst case, this reduction in energy consumption comes at the cost of 10% reduction in goodput. Finally, Green-Frag reduces the latency by 22% on average compared to other static frame fragmentation schemes.en
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1084804515001915en
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Network and Computer Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Network and Computer Applications, 18 August 2015. DOI: 10.1016/j.jnca.2015.08.006en
dc.subjectWireless sensor networksen
dc.subjectPartial packet recoveryen
dc.subjectFrame fragmentationen
dc.subjectAdaptive poweren
dc.subjectInterference-resiliencyen
dc.subjectEnergy-efficiencyen
dc.titleGreen partial packet recovery in wireless sensor networksen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalJournal of Network and Computer Applicationsen
dc.eprint.versionPost-printen
dc.contributor.institutionDepartment of Computer Engineering, Umm Al-Qura University (UQU), Makkah, Saudi Arabiaen
dc.contributor.institutionTelecommunication Department, INSA Lyon, Lyon, Franceen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorDaghistani, Anas H.en
kaust.authorShihada, Basemen
kaust.authorShowail, Ahmaden
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