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An enhanced path loss model for accurate indoor distance estimation
العناوين الأخرى
تعزيز مسار نموذج الخسارة بتقدير دقيق للمسافة الداخلية
مقدم أطروحة جامعية
مشرف أطروحة جامعية
al-Nabhan, Muhammad Musa Muhammad
أعضاء اللجنة
al-Kasasibah, Muhammad Sharari Zamil
al-Abadilah, Ahmad Muhammad
al-Harfushi, Usamah Kasab
Hammad, Mustafa Muhammad
الجامعة
جامعة مؤتة
الكلية
كلية تكنولوجيا المعلومات
القسم الأكاديمي
قسم الحاسوب
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2016
الملخص الإنجليزي
Indoor localization based on received signal strength has become very popular in recent years.
Wi-Fi radio signals are highly used to navigate and locate users in indoor environments.
This is due to high availability of Wi-Fi technology within most buildings including; universities, hospitals, homes and companies.
In addition, availability of smartphones and laptops equipped with Wi-Fi adapters has increased Wi-Fi popularity.
This work presents a new approach required to enhance distance estimation process using log-distance path loss model based on Wi-Fi RSS.
The proposed approach relies on analyzing Path Loss Exponent (PLE) and Received Signal Strength (RSS) variables through a set of procedures allowing the optimal approximation of these variables.
In addition, the proposed approach provides a best-fit relationship between these variables improving estimated distance accuracy within both in Line of Sight (LOS) and Non-Line of Sight (NLOS) cases.
The proposed approach consists of three main functional steps.
The first step is responsible for measuring RSS values in different environmental settings.
The second step includes approximating optimal PLE values and its relation to RSS and estimated distance accuracy.
The outcomes of the second step are used to obtain optimal ranges of PLE values required for both LOS and NOLS environments.
Obtaining these optimal values allows to remove errors and noise in RSS and reduces the effect of signal multi-path, allowing for enhanced distance estimation in the last step.
The proposed approach was experimentally tested and evaluated using a novel evaluation methodology representing all possible navigation environments.
Several experimental scenarios were conducted measuring up-to-date and real-time signal strength measurements for mobile user in LOS and NLOS environments.
Measurements were applied to the functional approach procedures following passive analysis and statistical methods to approximate new Path Loss Model (PLM) parameters.
In addition, a comparison analysis study was carried between the proposed approach and conventional path loss models with reference to achieved distance accuracy.
Results have confirmed the advancement of distance accuracy and position performance using the proposed approach in both LOS and NLOS environments.
At a 95% confidence level, the significant difference between real distance and estimated distance was reduced using the proposed approach comparing to conventional models.
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
عدد الصفحات
55
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review and theoretical background.
Chapter Three : Proposed model design and functional approach.
Chapter Four : Evaluation methodology, results analysis and conclusions.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Shamayilah, Waid Amjad. (2016). An enhanced path loss model for accurate indoor distance estimation. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-731649
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Shamayilah, Waid Amjad. An enhanced path loss model for accurate indoor distance estimation. (Master's theses Theses and Dissertations Master). Mutah University. (2016).
https://search.emarefa.net/detail/BIM-731649
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Shamayilah, Waid Amjad. (2016). An enhanced path loss model for accurate indoor distance estimation. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-731649
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-731649
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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