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2015 | OriginalPaper | Buchkapitel

Energy Aware Object Localization in Wireless Sensor Network Based on Wi-Fi Fingerprinting

verfasst von : Marcin Bernas, Bartłomiej Płaczek

Erschienen in: Computer Networks

Verlag: Springer International Publishing

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Abstract

The usage of GPS systems for indoor localization is limited, therefore multiple indirect localization techniques were proposed over the years. One of them is a localization method based on Wi-Fi (802.11) access point (AP) signal strength (RSSI) measurement. In this method, a RSSI map is constructed via Localization Fingerprinting (LF), which allows localizing object on the basis of a pattern similarity. The drawback of LF method is the need to create the RSSI map that is used as a training dataset. Therefore, in this study a Wireless Sensor Network (WSN) is used for this task. The introduced in this paper energy aware localization method allows to acquire the actual RSSI map or broadcast a localization signal, if there is not sufficient information to perform the localization by using nearby APs. To localize objects in a given cell, various classifiers were used and their localization accuracy was analyzed. Simulations were performed to compare the introduced solution with a state-of-the-art approach. The experimental results show that the proposed energy aware method extends the lifetime of WSN and improves the localization accuracy.

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Titel: Energy Aware Object Localization in Wireless Sensor Network Based on Wi-Fi Fingerprinting
verfasst von: Marcin Bernas
Bartłomiej Płaczek
Verlag: Springer International Publishing
Buch: Computer Networks
Print ISBN: 978-3-319-19418-9

Electronic ISBN: 978-3-319-19419-6

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-19419-6_4

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