The paper exploits the outlier detection techniques for wireless-sensor-network- (WSN-) based localization problem and proposes\r\nan outlier detection scheme to cope with noisy sensor data. The cheap and widely available measurement techniqueââ?¬â?received\r\nsignal strength (RSS)ââ?¬â?is usually taken into account in the indoor localization system, but the RSS measurements are known to be\r\nsensitive to the change of the environment. The paper develops an outlier detection scheme to deal with abnormal RSS data so as\r\nto obtain more reliable measurements for localization. The effectiveness of the proposed approach is verified experimentally in an\r\nindoor environment.
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