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Indoor Localization Techniques Based on Wireless Sensor Networks

Hyo‐Sung Ahn, Wonpi Yu

Year
2009
Citations
14

Abstract

In this chapter, we presented a set of classifications of indoor localization techniques. We generated categories according to measurement attribute, location algorithms, and communication protocols. The classifications presented in this chapter provide a compact form of overview on WSN-based indoor localizations. Then, based on the classifications, we introduced server-based and range-based localization systems that can be used for the indoor service robot. Specifically, we presented UWB, Wi-Fi, ZigBee, and CSS-based localization systems. From actual experimental tests, however we found that the existing WSN-based methods have their own disadvantage. That is, Ubisense system is expensive and needs heavy hardware equipment. The Wi-Fi system (Ekahau) has a low accuracy and is only useful for the room-level localization. The CSS-based system is too expensive. Thus, this chapter introduced a localization method based on received signal strength index (RSSI).

Keywords

Wireless sensor networkComputer scienceComputer networkWirelessTelecommunications

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