Open Access
Research Paper
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Paper Title

DRONE PARASITE AI Powered Mobile Jammer Mounted Drone

Article Identifiers

Registration ID: IJNRD_206423

Published ID: IJNRDTH00090

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Keywords

UAV Aerial Drone, Signal jammer, Satellite commnication

Abstract

Designed is an AI Powered Mobile Jamming Drone that can trace down mobile signals, create a swarm and localize mobile jamming so that it does not affect others. Like in a condition where a special jammer that can be activated to cut all signals at a specific locations in a critical situation. In terror operations mobile phones play a major role in helping the enemies to give instructions, etc. The UAV aerial model drone can trace and jam mobile signals at sites if they have been held by enemies under dangerous situations. Up until now localizing the mobile jamming system to work only for particular range was not available and due to this the whole area gets jammed affecting the security personnel. The UAV Aerial Drone uses Artificial Intelligence along with GPS and Cell Tower Triangulation and Multilateration techniques to trace mobile phones and then deploy itself to the location and turn the mobile signal jammer ON with the appropriate range so as to block all mobile communication at the site. This unmanned aerial vehicle (UAV) drone Model can be used in Warfare in such a manner that if a Site has been held by enemies and terrorists and communication is being done by them using Mobile phones with their handlers, these Drones can be deployed where the Drone automatically traces the mobile signal present and places itself on their site and jams the network so as to prevent further communications.

How To Cite (APA)

Bharath chandru R C, Kesavan K, & Muthumari T (October-2023). DRONE PARASITE AI Powered Mobile Jammer Mounted Drone. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), 678-705. https://ijnrd.org/papers/IJNRDTH00090.pdf

Issue

Other Publication Details

Paper Reg. ID: IJNRD_206423

Published Paper Id: IJNRDTH00090

Downloads: 000122031

Research Area: Engineering

Author Type: Indian Author

Country: theni, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00090.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00090

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Call For Paper - Volume 10 | Issue 11 | November 2025

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