Lim, C. L., Goh, C. , Khan, A. and Li, Y. (2017) Understanding Spatial Related Network Challenges from Physical and Network Layers. In: 2017 International Conference on Computing, Networking and Communications (ICNC), Santa Clara, CA, USA, 26-29 Jan 2017, pp. 368-373. ISBN 9781509045884 (doi: 10.1109/ICCNC.2017.7876156)
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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.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Goh, Dr Cindy Sf and Lim, Cheng Leong and Li, Professor Yun |
| Authors: | Lim, C. L., Goh, C., Khan, A., and Li, Y. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
| ISBN: | 9781509045884 |
| Published Online: | 13 March 2017 |
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