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Abdelfettah Salah Belghith

Professor

Faculty

علوم الحاسب والمعلومات
Building 31, Second Floor, Office 2202
المنشورات
ورقة مؤتمر
2017

Efficient localization approach for large scale wireless sensor networks (2017)

Belghith, Abdelfettah . 2017

To obtain a trade-off between location accuracy and implementation cost, recursive localization schemes are being pursued as a cost-effective alternative to more expensive localization approaches, where localization information increases progressively as new nodes compute their positions and become themselves reference nodes. A strategy is then required to control and maintain the distribution of these new reference nodes. The lack of such a strategy leads, especially in large scale networks, to wasted energy, important communication overhead and even impacts the localization accuracy. In this paper, we propose an efficient recursive localization approach that reduces the energy consumption, the execution time, and the communication overhead, yet it increases the localization accuracy through an adequate distribution of reference nodes within the network.

موقع المؤتمر
Cluj-Napoca, Romania
اسم المؤتمر
13th IEEE International Conference on Intelligent Computer Communication and processing
المنظمة الممولة
IEEE
مزيد من المنشورات
publications

In Wireless Body Area Networks (WBANs), it is crucial to ensure reliable and timely delivery of gathered data, despite their intrinsic challenges related to limited resources at the sensor level…

بواسطة Abdelfettah Belghith
2023
تم النشر فى:
Elsevier
publications

Media streaming and consumer mobility are already prevalent on the internet. Audio and video streaming traffic continues to grow and currently accounts for over 70% of global traffic. User…

بواسطة Abdelfettah Belghith
2023
تم النشر فى:
Elsevier
publications

Named Data Networking (NDN) is considered an appropriate architecture for IoT as it naturally supports consumer mobility and provides in-network caching capabilities as leverage to meet IoT…

بواسطة Abdelfettah Belghith
2023
تم النشر فى:
Elsevier