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Abdelfettah Salah Belghith

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Faculty

علوم الحاسب والمعلومات
Building 31, Second Floor, Office 2202
المنشورات
مقال فى مجلة
2017

The Impact of Non-Linear Mobility Models on Straight Line Conflict Detection Algorithm for UAVs

Conflict detection is an essential issue in flying ad hoc networks (FANETs) to ensure the safety of unmanned aerial vehicles (UAVs) during flights. This paper assesses the applicability and utilization of a conflict detection algorithm that sees immediate trajectory as a straight line for short periods with nonlinear mobility models such as Gauss–Markov (GM). First, we use a straight line conflict detection algorithm with two nonlinear mobility models. Then, we perform an extensive simulation study to evaluate the performance. Additionally, we present a comprehensive discussion to tune the collision detection parameters efficiently. Simulation results indicate that an algorithm considering the immediate trajectory as a straight line to predict conflicts between UAVs can be applied with nonlinear mobilities and can provide an acceptable performance measured in false and missed alarms.

اسم الناشر
MDPI
رقم المجلد
12
رقم الانشاء
24
مجلة/صحيفة
Applied Sciences
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