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Mathematical Problems in Engineering
Volume 2014, Article ID 713430, 8 pages
Research Article

Triangle and GA Methods for UAVs Jamming

1College of Communication Engineering, Chongqing University, Chongqing 400030, China
2Center of Communication & Tracking Telemetering Command, Chongqing 400030, China

Received 7 May 2014; Accepted 6 July 2014; Published 5 August 2014

Academic Editor: Qingsong Xu

Copyright © 2014 Yu Zhang and Lisheng Yang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We focus on how to jam UAVs network efficiently. The system model is described and the problem is formulated. Based on two properties and a theorem which helps to decide good location for a jammer, we present the Triangle method to find good locations for jammers. The Triangle method is easy to understand and has overall computational complexity of . We also present a genetic algorithm- (GA-) based jamming method, which has computational complex of . New chromosome, mutation, and crossover operations are redefined for the GA method. The simulation shows that Triangle and GA methods perform better than Random method. If the ratio of jammers’ number to UAVs’ number is low (lower than 1/5 in this paper), GA method does better than Triangle method. Otherwise, Triangle method performs better.