Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting
المؤلفون المشاركون
Dong, Kai
Ling, Zhen
Xia, Xiangyu
Ye, Haibo
Wu, Wenjia
Yang, Ming
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-09
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The development of the Internet of Things has accelerated research in the indoor location fingerprinting technique, which provides value-added localization services for existing WLAN infrastructures without the need for any specialized hardware.
The deployment of a fingerprinting based localization system requires an extremely large amount of measurements on received signal strength information to generate a location fingerprint database.
Nonetheless, this requirement can rarely be satisfied in most indoor environments.
In this paper, we target one but common situation when the collected measurements on received signal strength information are insufficient, and show limitations of existing location fingerprinting methods in dealing with inadequate location fingerprints.
We also introduce a novel method to reduce noise in measuring the received signal strength based on the maximum likelihood estimation, and compute locations from inadequate location fingerprints by using the stochastic gradient descent algorithm.
Our experiment results show that our proposed method can achieve better localization performance even when only a small quantity of RSS measurements is available.
Especially when the number of observations at each location is small, our proposed method has evident superiority in localization accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dong, Kai& Ling, Zhen& Xia, Xiangyu& Ye, Haibo& Wu, Wenjia& Yang, Ming. 2017. Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1205599
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dong, Kai…[et al.]. Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1205599
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dong, Kai& Ling, Zhen& Xia, Xiangyu& Ye, Haibo& Wu, Wenjia& Yang, Ming. Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1205599
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1205599
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر