Improving Accuracy and Simplifying Training in Fingerprinting-Based Indoor Location Algorithms at Room Level
المؤلفون المشاركون
Muñoz-Organero, Mario
Brito-Pacheco, Claudia
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-02-02
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Fingerprinting-based algorithms are popular in indoor location systems based on mobile devices.
Comparing the RSSI (Received Signal Strength Indicator) from different radio wave transmitters, such as Wi-Fi access points, with prerecorded fingerprints from located points (using different artificial intelligence algorithms), fingerprinting-based systems can locate unknown points with a few meters resolution.
However, training the system with already located fingerprints tends to be an expensive task both in time and in resources, especially if large areas are to be considered.
Moreover, the decision algorithms tend to be of high memory and CPU consuming in such cases and so does the required time for obtaining the estimated location for a new fingerprint.
In this paper, we study, propose, and validate a way to select the locations for the training fingerprints which reduces the amount of required points while improving the accuracy of the algorithms when locating points at room level resolution.
We present a comparison of different artificial intelligence decision algorithms and select those with better results.
We do a comparison with other systems in the literature and draw conclusions about the improvements obtained in our proposal.
Moreover, some techniques such as filtering nonstable access points for improving accuracy are introduced, studied, and validated.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Muñoz-Organero, Mario& Brito-Pacheco, Claudia. 2016. Improving Accuracy and Simplifying Training in Fingerprinting-Based Indoor Location Algorithms at Room Level. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1111397
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Muñoz-Organero, Mario& Brito-Pacheco, Claudia. Improving Accuracy and Simplifying Training in Fingerprinting-Based Indoor Location Algorithms at Room Level. Mobile Information Systems No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1111397
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Muñoz-Organero, Mario& Brito-Pacheco, Claudia. Improving Accuracy and Simplifying Training in Fingerprinting-Based Indoor Location Algorithms at Room Level. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1111397
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1111397
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