10th Euromicro Conference on Digital System Design Architectures, Methods and Tools (DSD 2007) (2007)
Aug. 29, 2007 to Aug. 31, 2007
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSD.2007.20
Abdalkarim Awad , University of Erlangen
Thorsten Frunzke , University of Erlangen
Falko Dressler , University of Erlangen
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.
F. Dressler, A. Awad and T. Frunzke, "Adaptive Distance Estimation and Localization in WSN using RSSI Measures," 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools (DSD 2007)(DSD), Lubeck, Germany, 2007, pp. 471-478.