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

Faculty Of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

11 Downloads (Pure)

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
Title of host publication	2017 International Conference on Computing, Networking and Communications, ICNC 2017
Place of Publication	Piscataway, NJ.
Publisher	IEEE
Pages	368-373
Number of pages	6
ISBN (Electronic)	9781509045884
DOIs	https://doi.org/10.1109/ICCNC.2017.7876156
Publication status	Published - 10 Mar 2017
Event	2017 International Conference on Computing, Networking and Communications, ICNC 2017 - Silicon Valley, United States Duration: 26 Jan 2017 → 29 Jan 2017

Conference

Conference	2017 International Conference on Computing, Networking and Communications, ICNC 2017
Country/Territory	United States
City	Silicon Valley
Period	26/01/17 → 29/01/17

Keywords

wireless sensor network
WSN
network layers

Access to Document

10.1109/ICCNC.2017.7876156

Lim-etal-ICNC-2017-spatial-related-network-challenges-from-physical-and-network-layersAccepted author manuscript, 393 KB

Cite this

@inproceedings{cd51291464ac4521b7d8fdab9af37441,

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.",

keywords = "wireless sensor network, WSN, network layers",

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

note = "{\textcopyright} 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.; 2017 International Conference on Computing, Networking and Communications, ICNC 2017 ; Conference date: 26-01-2017 Through 29-01-2017",

year = "2017",

month = mar,

day = "10",

doi = "10.1109/ICCNC.2017.7876156",

language = "English",

pages = "368--373",

booktitle = "2017 International Conference on Computing, Networking and Communications, ICNC 2017",

publisher = "IEEE",

}

Lim, CL, Goh, C, Khan, A & Li, Y 2017, Understanding spatial related network challenges from physical and network layers. in 2017 International Conference on Computing, Networking and Communications, ICNC 2017., 7876156, IEEE, Piscataway, NJ., pp. 368-373, 2017 International Conference on Computing, Networking and Communications, ICNC 2017, Silicon Valley, United States, 26/01/17. https://doi.org/10.1109/ICCNC.2017.7876156

TY - GEN

T1 - Understanding spatial related network challenges from physical and network layers

AU - Lim, Cheng Leong

AU - Goh, Cindy

AU - Khan, Asiya

AU - Li, Yun

N1 - © 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.

PY - 2017/3/10

Y1 - 2017/3/10

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.

KW - wireless sensor network

KW - WSN

KW - network layers

UR - http://www.scopus.com/inward/record.url?scp=85017361425&partnerID=8YFLogxK

U2 - 10.1109/ICCNC.2017.7876156

DO - 10.1109/ICCNC.2017.7876156

M3 - Conference contribution book

AN - SCOPUS:85017361425

SP - 368

EP - 373

BT - 2017 International Conference on Computing, Networking and Communications, ICNC 2017

PB - IEEE

CY - Piscataway, NJ.

T2 - 2017 International Conference on Computing, Networking and Communications, ICNC 2017

Y2 - 26 January 2017 through 29 January 2017

ER -

Understanding spatial related network challenges from physical and network layers

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this