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Mathematical Problems in Engineering
Volume 2018, Article ID 9315954, 7 pages
https://doi.org/10.1155/2018/9315954
Research Article

Game Based Energy Cost Optimization for Unmanned Aerial Vehicle Communication Networks

The Army Engineering University of PLA, Nanjing, China

Correspondence should be addressed to Lei Zhu; moc.361@juhseuxuhZieL

Received 26 November 2017; Revised 29 January 2018; Accepted 26 February 2018; Published 10 April 2018

Academic Editor: Eduardo Rodriguez-Tello

Copyright © 2018 Changhua Yao et al. 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.

Abstract

Due to the limited transmission power, the data transmission between the unmanned aerial vehicle and the ground station often needs the synergetic forwarding. The optimization of the synergetic forwarding organization is important to the performance of the unmanned aerial vehicle communication networks. This paper aims to optimize the energy cost using the synergetic forwarding mode in the unmanned aerial vehicle communication networks. To reduce the expensive information exchange and improve the robust of the network, we put forward an energy cost orient forwarding allocation approach using game based intelligent algorithm. The theoretic analysis and simulation results verify that the put forward method could achieve optimal energy cost communication organization.