Paper Info
Title
A Filtered RSSI Model Based on Hardware Characteristic for Localization Algorithm in Wireless Sensor Networks
Abstract
Localization is considered as a tough, complicated and important problem in Wireless Sensor Networks (WSNs) due to challenges related to energy consumption, coverage and connectivity. Received Signal Strength (RSSI) is one of the most important techniques to measure nodes position. It is based on the use of the path loss model of the radio frequency propagation. This makes the RSSI based technique vulnerable to fading and shadowing problem, multipathing and environmental effects. To reduce the impact of those problems a filtering model related to signal attenuation is proposed. It implements the feedback filter to reduce noise during signal transmission with consideration of earlier values of received signal strength. This enables to predict possible values of the RSSI and thus the position of nodes. To improve the localization accuracy, hardware characteristics are introduced in the filtering model. The proposed model explore the multiplication and summation errors of the node. Real experiments are carried out on the panStamp sensor node at two different temperatures. The new proposed RSSI technique shows a reduced localization error compared to the simple RSSI method.
Year
DOI
Venue
2018
10.1109/WAINA.2018.00073
2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)
Keywords
Field
DocType
Wireless Sensor Network,RSSI,feedback and average filters,panStamp node,sensors
Sensor node,Transmission (telecommunications),Fading,Computer science,Filter (signal processing),Radio frequency,Path loss,Computer hardware,Energy consumption,Wireless sensor network
Conference
ISBN
Citations 
PageRank 
978-1-5386-5396-8
0
0.34
References 
Authors
5
5
Name
Order
Citations
PageRank
Dhouha El Houssaini143.00
Zina Mohamed200.34
Sabrine Khriji344.01
Kamel Besbes44415.41
olfa kanoun56440.74