Understanding Spatial Related Network Challenges from Physical and Network Layers

Cheng Leong Lim; Cindy Goh; Asiya Khan; Yun Li

doi:10.1109/ICCNC.2017.7876156

Understanding Spatial Related Network Challenges from Physical and Network Layers

Cheng Leong Lim, Cindy Goh, Asiya Khan, Yun Li

School of Engineering, Computing and Mathematics

Research output: Contribution to journal › Conference proceedings published in a journal › peer-review

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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.

Original language	English
Number of pages	0
Journal	2017 International Conference on Computing, Networking and Communications (ICNC)
Volume	0
Issue number	0
DOIs	https://doi.org/10.1109/ICCNC.2017.7876156
Publication status	Published - 26 Jan 2017
Event	ICNC 2017 - Silicon Valley USA Duration: 26 Jan 2017 → 29 Jan 2017

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10.1109/ICCNC.2017.7876156

An unmanned marine vehicle thruster fault diagnosis scheme based on OFNDA

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title = "Understanding Spatial Related Network Challenges from Physical and Network Layers",

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.",

author = "Lim, {Cheng Leong} and Cindy Goh and Asiya Khan and Yun Li",

year = "2017",

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doi = "10.1109/ICCNC.2017.7876156",

language = "English",

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TY - JOUR

T1 - Understanding Spatial Related Network Challenges from Physical and Network Layers

AU - Lim, Cheng Leong

AU - Goh, Cindy

AU - Khan, Asiya

AU - Li, Yun

PY - 2017/1/26

Y1 - 2017/1/26

N2 - 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.

AB - 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.

U2 - 10.1109/ICCNC.2017.7876156

DO - 10.1109/ICCNC.2017.7876156

M3 - Conference proceedings published in a journal

VL - 0

JO - 2017 International Conference on Computing, Networking and Communications (ICNC)

JF - 2017 International Conference on Computing, Networking and Communications (ICNC)

IS - 0

T2 - ICNC 2017

Y2 - 26 January 2017 through 29 January 2017

ER -

Understanding Spatial Related Network Challenges from Physical and Network Layers

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