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Triangle and GA Methods for UAVs Jamming
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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 ON2.
We also present a genetic algorithm- (GA-) based jamming method, which has computational complex of OLMN2.
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.
American Psychological Association (APA)
Zhang, Yu& Yang, Lisheng. 2014. Triangle and GA Methods for UAVs Jamming. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-492622
Modern Language Association (MLA)
Zhang, Yu& Yang, Lisheng. Triangle and GA Methods for UAVs Jamming. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-492622
American Medical Association (AMA)
Zhang, Yu& Yang, Lisheng. Triangle and GA Methods for UAVs Jamming. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-492622
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492622