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dc.contributor.authorlim, C
dc.contributor.authorgoh, C
dc.contributor.authorKhan, AI
dc.contributor.authorli, Y
dc.date.accessioned2017-06-19T08:45:02Z
dc.date.available2017-06-19T08:45:02Z
dc.date.issued2017-01-26
dc.identifier.isbn9781509045884
dc.identifier.issn2325-2626
dc.identifier.urihttp://hdl.handle.net/10026.1/9493
dc.description.abstract

Wireless Sensor Network's communication reliability is greatly influenced by the spatial related network challenges found in the physical space between communicating nodes. In this paper, ZigBee based sensor nodes are experimented under the influence of two distinct spatial related network challenges (i) poor deployed environment and (ii) human movements. WSN parameters obtained are used to develop an ANFIS based model designed to predict these spatial related network challenges. Using ANFIS model prediction accuracies as performance indices, WSN parameters are analysed from the physical and network layers perspective. Physical layer's link properties, reception strength and reception variability, are shown to be key indicators to spatial related network challenges. The parameters observed are Mean RSSI, Average Coefficient of Variation RSSI, Neighbour Table Connectivity and Bi-directional Neighbour Table Connectivity.

dc.format.extent368-373
dc.language.isoen
dc.publisherIEEE
dc.subject4605 Data Management and Data Science
dc.subject4606 Distributed Computing and Systems Software
dc.subject46 Information and Computing Sciences
dc.titleUnderstanding Spatial Related Network Challenges from Physical and Network Layers
dc.typeconference
dc.typeProceedings Paper
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000402039800066&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.date-start2017-01-26
plymouth.date-finish2017-01-29
plymouth.publisher-urlhttp://dx.doi.org/10.1109/iccnc.2017.7876156
plymouth.conference-nameICNC 2017
plymouth.publication-statusPublished
plymouth.journal2017 International Conference on Computing, Networking and Communications (ICNC)
dc.identifier.doi10.1109/ICCNC.2017.7876156
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeSilicon Valley USA
dcterms.dateAccepted2016-08-30
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1109/ICCNC.2017.7876156
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-01-26
rioxxterms.typeConference Paper/Proceeding/Abstract


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