DocumentCode
3537743
Title
RSSI based location estimation in wireless sensors networks
Author
Al Alawi, Raida
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Bahrain, Isa Town, Bahrain
fYear
2011
fDate
14-16 Dec. 2011
Firstpage
118
Lastpage
122
Abstract
Location estimation of sensor nodes is a key component in many wireless sensor networks´ (WSN) applications such as target tracking, rescue operations, disaster relief and environmental monitoring. The accuracy of the localization algorithm is a vital component to the success of the localization technique. The RSSI ranged based localization algorithm is a simple and cost effective localization technique that relies on measuring the Receive Signal Strength Indicator (RSSI) for distance estimation. In this paper we present experimental results that are carried out to analyze the sensitivity of RSSI measurements in an outdoor and indoor environment. A calibration model that characterized the RF radio channel will be derived and used for distance estimation. The validity of the estimated distance will be verified to track the position of a sensor node within an indoor environment. The results of this study reveal the feasibility of RSSI based localization algorithm in designing correct real-time position monitoring system.
Keywords
regression analysis; sensitivity analysis; wireless channels; wireless sensor networks; RF radio channel; RSSI based location estimation; RSSI measurement sensitivity analysis; cost effective localization technique; disaster relief; distance estimation; environmental monitoring; linear regression estimators; localization algorithm; real-time position monitoring system; receive signal strength indicator; sensor nodes; target tracking; wireless sensors networks; Accuracy; Equations; Estimation; Indoor environments; Loss measurement; Mathematical model; Wireless sensor networks; Distance Estimation; Localization; Received Signal Strength Indicator; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks (ICON), 2011 17th IEEE International Conference on
Conference_Location
Singapore
ISSN
1556-6463
Print_ISBN
978-1-4577-1824-3
Type
conf
DOI
10.1109/ICON.2011.6168517
Filename
6168517
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