Ambient intelligence context-based cross-layer design in wireless sensor networks

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aut.relation.endpage19085
aut.relation.issue10en_NZ
aut.relation.pages29
aut.relation.startpage19057
aut.relation.volume14en_NZ
dark.contributor.authorLiu, Yen_NZ
dark.contributor.authorSeet, B-Cen_NZ
dark.contributor.authorAl-Anbuky, Aen_NZ
dc.date.accessioned2016-01-22T01:03:34Z
dc.date.available2016-01-22T01:03:34Z
dc.date.copyright2014-10-14en_NZ
dc.date.issued2014-10-14en_NZ
dc.description.abstractBy exchanging information directly between non-adjacent protocol layers, cross-layer (CL) interaction can significantly improve and optimize network performances such as energy efficiency and delay. This is particularly important for wireless sensor networks (WSNs) where sensor devices are energy-constrained and deployed for real-time monitoring applications. Existing CL schemes mainly exploit information exchange between physical, medium access control (MAC), and routing layers, with only a handful involving application layer. For the first time, we proposed a framework for CL optimization based on user context of ambient intelligence (AmI) application and an ontology-based context modeling and reasoning mechanism. We applied the proposed framework to jointly optimize MAC and network (NET) layer protocols for WSNs. Extensive evaluations show that the resulting optimization through context awareness and CL interaction for both MAC and NET layer protocols can yield substantial improvements in terms of throughput, packet delivery, delay, and energy performances.en_NZ
dc.identifier.citationSensors 2014, 14(10), 19057-19085; doi:10.3390/s141019057en_NZ
dc.identifier.doi10.3390/s141019057en_NZ
dc.identifier.issn1424-8220en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/9389
dc.languageEnglishen_NZ
dc.publisherMDPIen_NZ
dc.relation.urihttp://dx.doi.org/10.3390/s141019057en_NZ
dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectWireless sensor networksen_NZ
dc.subjectCross-layer optimizationen_NZ
dc.subjectContexten_NZ
dc.subjectAmbient intelligenceen_NZ
dc.titleAmbient intelligence context-based cross-layer design in wireless sensor networksen_NZ
dc.typeJournal Article
pubs.elements-id173446
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/School of Engineering
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