aymanmaa@kfupm.edu.sa
Author
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Author 1
Ayman M Abdallah
Interdisciplinary Research Centre for Aviation and Space Exploration King Fahd University of Petroleum and Minerals (KFUPM)
Summary
Edited Journals
IECE Contributions

Free Access | Research Article | 23 September 2024
Signal Strength-Based Alien Drone Detection and Containment in Indoor UAV Swarm Simulations
IECE Transactions on Intelligent Systematics | Volume 1, Issue 2: 58-67, 2024 | DOI:10.62762/TIS.2024.807714
Abstract
A Novel simulation framework using self-governing drones is used to locate and reduce unauthorized drones in interior environments. The recommended method uses Received Signal Strength Indicator (RSSI) to identify an alien agent drone, which has different signal characteristics than the approved swarm of UAVs. Real-time threat detection is possible with this technology. After detecting the drone, the swarm organizes itself to encircle and besiege it for 10 seconds, making it inert before returning to their original positions. This unique solution uses RSSI to quickly identify and mitigate enclosed area concerns. It provides a reliable and effective indoor drone security solution. The simulat... More >

Graphical Abstract
Signal Strength-Based Alien Drone Detection and Containment in Indoor UAV Swarm Simulations