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

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 the swarm returns to its original formation. This unique solution uses RSSI to quickly identify and mitigate enclosed area concerns. It provides a reliable and effective indoor drone security solution. The simulation results show that the approach works in critical environments such as warehouses, laboratories, and other secure indoor facilities. This study advances unmanned aerial system (UAS) autonomous swarm intelligence and security procedures.