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.
UR - https://pearl.plymouth.ac.uk/context/bms-research/article/2108/viewcontent/Ingestion_20of_20microplastics_final_20w_20images.pdf
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 -