Understanding spatial related network challenges from physical and network layers
Lim, Cheng Leong and Goh, Cindy and Khan, Asiya and Li, Yun; (2017) Understanding spatial related network challenges from physical and network layers. In: 2017 International Conference on Computing, Networking and Communications, ICNC 2017. IEEE, USA, pp. 368-373. ISBN 9781509045884 (https://doi.org/10.1109/ICCNC.2017.7876156)
Preview |
Text.
Filename: Lim_etal_ICNC_2017_spatial_related_network_challenges_from_physical_and_network_layers.pdf
Accepted Author Manuscript Download (402kB)| Preview |
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.
ORCID iDs
Lim, Cheng Leong, Goh, Cindy, Khan, Asiya and Li, Yun ORCID: https://orcid.org/0000-0002-6575-1839;-
-
Item type: Book Section ID code: 65276 Dates: DateEvent10 March 2017Published20 September 2016AcceptedNotes: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering Depositing user: Pure Administrator Date deposited: 27 Aug 2018 12:12 Last modified: 11 Nov 2024 15:14 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/65276