AMN-PSO METHOD FOR JAMMING UNMANNED AERIAL VEHICLE NETWORK

摘要

UAVs are attracting more and more attentions for their versatilities and low costs. This paper focuses on their security and considers launching jamming attacks on them. We firstly formulate the UAVs jamming problem. Secondly the PSO (Particle Swarm Optimization) algorithm is introduced and new metrics like AJRL (Area for jamming a receiving link) and NJRL (Number of AJRLs) are defined. Then we provide a new jamming method AMN-PSO (Achieving Maximal NJRL based on PSO) for UAVs jamming attack. AMN-PSO includes the Tabu search concept to improve its performance. For evaluating the performance, AMN-PSO method together with other methods are simulated comprehensively. The simulation result shows that AMN-PSO performs better than other methods.