Hybrid Indoor-Based WLAN-WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network
المؤلفون المشاركون
Nordin, Rosdiadee
Abdullah, Nor Fadzilah
Ismail, Mahamod
Farid, Zahid
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-28
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
In indoor environments, WiFi (RSS) based localization is sensitive to various indoor fading effects and noise during transmission, which are the main causes of localization errors that affect its accuracy.
Keeping in view those fading effects, positioning systems based on a single technology are ineffective in performing accurate localization.
For this reason, the trend is toward the use of hybrid positioning systems (combination of two or more wireless technologies) in indoor/outdoor localization scenarios for getting better position accuracy.
This paper presents a hybrid technique to implement indoor localization that adopts fingerprinting approaches in both WiFi and Wireless Sensor Networks (WSNs).
This model exploits machine learning, in particular Artificial Natural Network (ANN) techniques, for position calculation.
The experimental results show that the proposed hybrid system improved the accuracy, reducing the average distance error to 1.05 m by using ANN.
Applying Genetic Algorithm (GA) based optimization technique did not incur any further improvement to the accuracy.
Compared to the performance of GA optimization, the nonoptimized ANN performed better in terms of accuracy, precision, stability, and computational time.
The above results show that the proposed hybrid technique is promising for achieving better accuracy in real-world positioning applications.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Farid, Zahid& Nordin, Rosdiadee& Ismail, Mahamod& Abdullah, Nor Fadzilah. 2016. Hybrid Indoor-Based WLAN-WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1111579
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Farid, Zahid…[et al.]. Hybrid Indoor-Based WLAN-WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network. Mobile Information Systems No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1111579
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Farid, Zahid& Nordin, Rosdiadee& Ismail, Mahamod& Abdullah, Nor Fadzilah. Hybrid Indoor-Based WLAN-WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1111579
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1111579
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