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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.

Linked References

  1. S. Hayat, E. Yanmaz, and R. Muzaffar, “Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint,” IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 2624–2661, 2016. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Hyo-Sang and P. Segui-Gasco, UAV Communication Networkss: Selection-Making Paradigms, Encyclopedia of Aerospace Engineering, 2014.
  3. S. Rosati, K. Kruzelecki, L. Traynard, and B. Rimoldi, “Speed-aware routing for UAV ad-hoc networks,” in Proceedings of the 2013 IEEE Globecom Workshops, GC Wkshps 2013, pp. 1367–1373, USA, December 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. Y. Zhu, Q. Huang, J. Li, and D. Wu, “Design and evaluation of airborne communication networks,” in Proceedings of the 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015, pp. 277–282, Japan, July 2015. View at Publisher · View at Google Scholar · View at Scopus
  5. G. G. Ortiz, S. Lee, S. Monacos, M. Wright, and A. Biswas, “Design and development of a robust ATP subsystem for the altair UAV-to-ground lasercomm 2.5-Gbps demonstration,” in Proceedings of the SPIE - The International Society of Photo-Optical Instrumentation Engineers: Free-Space Laser Communication Technologies XV, High-Power Lasers and Applications, pp. 103–114, San Jose, CA, USA, January 2003. View at Publisher · View at Google Scholar · View at Scopus
  6. F. Luo, C. Jiang, J. Du et al., “A distributed gateway selection algorithm for UAV networks,” IEEE Transactions on Emerging Topics in Computing, vol. 3, no. 1, pp. 22–33, 2015. View at Publisher · View at Google Scholar · View at Scopus
  7. C. Yin, Z. Xiao, X. Cao, X. Xi, P. Yang, and D. Wu, “Enhanced routing protocol for fast flying UAV network,” in Proceedings of the 2016 IEEE International Conference on Communication Systems, ICCS 2016, pp. 1–6, China, December 2016. View at Publisher · View at Google Scholar · View at Scopus
  8. Y. Saleem, M. H. Rehmani, and S. Zeadally, “Integration of Cognitive Radio Technology with unmanned aerial vehicles: Issues, opportunities, and future research challenges,” Journal of Network and Computer Applications, vol. 50, pp. 15–31, 2015. View at Publisher · View at Google Scholar · View at Scopus
  9. D. H. Choi, S. H. Kim, and D. K. Sung, “Energy-efficient maneuvering and communication of a single UAV-based relay,” IEEE Transactions on Aerospace and Electronic Systems, vol. 50, no. 3, pp. 2320–2327, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Puri, A Survey of Unmanned Aerial Vehicles (UAV) for Traffic Surveillance, Department of Computer Science and Engineering, University of South Florida, 2005.
  11. I. Bekmezci, O. K. Sahingoz, and Ş. Temel, “Flying Ad-Hoc Networks (FANETs): a survey,” Ad Hoc Networks, vol. 11, no. 3, pp. 1254–1270, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. H. Wang, D. Huo, and B. Alidaee, “Position unmanned aerial vehicles in the mobile Ad hoc network,” Journal of Intelligent & Robotic Systems, vol. 74, no. 1-2, pp. 455–464, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. F. Ono, H. Ochiai, and R. Miura, “A Wireless Relay Network Based on Unmanned Aircraft System with Rate Optimization,” IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 7699–7708, 2016. View at Publisher · View at Google Scholar · View at Scopus
  14. Y. Wu, B. Zhang, S. Yang, X. Yi, and X. Yang, “Energy-efficient joint communication-motion planning for relay-assisted wireless robot surveillance,” in Proceedings of the IEEE INFOCOM 2017 - IEEE Conference on Computer Communications, pp. 1–9, Atlanta, GA, USA, May 2017. View at Publisher · View at Google Scholar
  15. K. Li, W. Ni, X. Wang, R. P. Liu, S. S. Kanhere, and S. Jha, “Energy-efficient cooperative relaying for unmanned aerial vehicles,” IEEE Transactions on Mobile Computing, vol. 15, no. 6, pp. 1377–1386, 2016. View at Publisher · View at Google Scholar · View at Scopus
  16. D. Fudenberg and D. Levine, The Theory o f Learning in Games, MIT Press, 1998. View at MathSciNet
  17. P. J. M. van Laarhoven and E. H. L. Aarts, Simulated Annealing: Theory and Applications, Reidel, Holland, 1987. View at MathSciNet
  18. W. Zhong, Y. Xu, and H. Tianfield, “Game-theoretic opportunistic spectrum sharing strategy selection for cognitive MIMO multiple access channels,” IEEE Transactions on Signal Processing, vol. 59, no. 6, pp. 2745–2759, 2011. View at Publisher · View at Google Scholar · View at MathSciNet
  19. J. R. Marden, G. Arslan, and J. S. Shamma, “Cooperative control and potential games,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 39, no. 6, pp. 1393–1407, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. H. P. Young, Individual Strategy and Social Structure, Princeton University Press, Princeton, NJ, USA, 1998.