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2007
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Adaptive Distance Estimation and Localization in WSN using RSSI Measures

11 years 7 months ago
Adaptive Distance Estimation and Localization in WSN using RSSI Measures
Abstract—Localization is one of the most challenging and important issues in wireless sensor networks (WSNs), especially if cost-effective approaches are demanded. In this paper, we present intensively discuss and analyze approaches relying on the received signal strength indicator (RSSI). The advantage of employing the RSSI values is that no extra hardware (e.g. ultrasonic or infra-red) is needed for network-centric localization. We studied different factors that affect the measured RSSI values. Finally, we evaluate two methods to estimate the distance; the first approach is based on statistical methods. For the second one, we use an artificial neural network to estimate the distance.
Abdalkarim Awad, Thorsten Frunzke, Falko Dressler
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where DSD
Authors Abdalkarim Awad, Thorsten Frunzke, Falko Dressler
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