Outlier-Detection-Based Indoor Localization System for Wireless Sensor Networks

المؤلفون المشاركون

Chen, Yu-Chi
Juang, Jyh-Ching

المصدر

International Journal of Navigation and Observation

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-04-08

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

تاريخ وجغرافيا

الملخص EN

The paper exploits the outlier detection techniques for wireless-sensor-network- (WSN-) based localization problem and proposes an outlier detection scheme to cope with noisy sensor data.

The cheap and widely available measurement technique—received signal strength (RSS)—is usually taken into account in the indoor localization system, but the RSS measurements are known to be sensitive to the change of the environment.

The paper develops an outlier detection scheme to deal with abnormal RSS data so as to obtain more reliable measurements for localization.

The effectiveness of the proposed approach is verified experimentally in an indoor environment.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Chen, Yu-Chi& Juang, Jyh-Ching. 2012. Outlier-Detection-Based Indoor Localization System for Wireless Sensor Networks. International Journal of Navigation and Observation،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-511719

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Chen, Yu-Chi& Juang, Jyh-Ching. Outlier-Detection-Based Indoor Localization System for Wireless Sensor Networks. International Journal of Navigation and Observation No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-511719

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Chen, Yu-Chi& Juang, Jyh-Ching. Outlier-Detection-Based Indoor Localization System for Wireless Sensor Networks. International Journal of Navigation and Observation. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-511719

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-511719