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Abdelfettah Salah Belghith

Professor

Faculty

علوم الحاسب والمعلومات
Building 31, Second Floor, Office 2202
publication
Journal Article
2017

The Impact of Non-Linear Mobility Models on Straight Line Conflict Detection Algorithm for UAVs (2022)

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.

Publisher Name
MDPI
Volume Number
12
Issue Number
24
Magazine \ Newspaper
Applied Sciences
more of publication
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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…

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