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Autonomous Coverage Expansion of Mobile Agents via Cooperative Control and Cooperative Communication

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8069))

Abstract

In this paper, a distributed extremum seeking and cooperative control is designed for mobile agents to disperse themselves optimally in maintaining communication quality and maximizing their coverage. The agents locally form a virtual MIMO communication system, and they communicate among them by using the decode and forward cooperative communication. Outage probability is used as a measure of communication quality which can be estimated real-time. A general performance index balancing outage probability and spatial dispersion is chosen for the overall system. Extremum seeking control approach is used to estimate the optimal values specified by the performance index, and cooperative formation control is applied to move the agents to the optimal locations by using only the locally-available information. The network connectivity and coverage are much improved when compared to either non-cooperative communication approaches or other existing control results. Simulation analysis is carried out to demonstrate the performance and robustness of the proposal methodology, and simulation is done to illustrate its effectiveness.

This work is part of a Master Thesis done by Said Al-Abri under supervision of professor Zhihua Qu at University of Central Florida. Said’s master study is funded by Sultan Qaboos University, Muscat, Oman.

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Notes

  1. 1.

    The result of the noncooperative case is not shown due to space limitation. However, the structure and evolution are similar to the cooperative case except the coverage is much more less and the connectivity is decreased.

References

  1. Beaulieu, N.C., Hu, A.: A closed-form expression for the outage probability of decode-and-forward relaying in dissimilar Rayleigh fading channels. IEEE Commun. Lett. 10, 81–815 (2006)

    Google Scholar 

  2. Tse, D., Viswanath, P.: Fundamentals of Wireless Communication. Cambride University Press, Cambridge (2005)

    Book  MATH  Google Scholar 

  3. Qu, Z.: Cooperative Control of Dynamical Systems. Springer, London (2009)

    MATH  Google Scholar 

  4. Khalil, H.K.: Nonlinear Systems. Prentice Hall, Upper Saddle River (2002)

    MATH  Google Scholar 

  5. Goldsmith, A.: Wireless Communications. Cambride University Press, Cambridge (2005)

    Book  Google Scholar 

  6. Murray., R.M.: Recent research in cooperative control of multi-vehicle systems. ASME J. Dyn. Syst. Meas. Contrl 129, 571–583 (2007)

    Article  Google Scholar 

  7. Fax, J.A., Murray, R.M.: Information flow and cooperative control of vehicle formations. IEEE Trans. Autom. Control 49, 571–583 (2004)

    Article  MathSciNet  Google Scholar 

  8. Zavlanos, M., Egerstedt, M., Pappas, G.: Graph theoretic connectivity control of mobile networks. Proc. IEEE 99, 1525–1540 (2010)

    Article  Google Scholar 

  9. Qu, Z., Li, C., Lewis, F.: Cooperative control based on distributed connectivity estimation of directed networks. In: American Control Conference, San Francisco, USA, pp. 3441–3446 (2011)

    Google Scholar 

  10. Li, C., Qu, Z., Ingram, M. A.: Distributed extremum seeking and cooperative control for mobile communication. In: 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), Orlando, USA, pp. 4510–4515 (2011)

    Google Scholar 

  11. Krstic, M., Wang, H.: Stability of extremum seeking feedback for general nonlinear dynamic systems. Automatica 36, 595–601 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  12. Nosratinia, A., Hunter, T.E., Hedayat, A.: Cooperative communication in wireless networks. IEEE Commun. Mag. 42, 74–80 (2004)

    Article  Google Scholar 

  13. Scaglione, A., Goeckel, D.L., Laneman, J.N.: Cooperative communications in mobile ad hoc networks. IEEE Signal Process. Mag. 23, 18–29 (2006)

    Article  Google Scholar 

  14. Coso, A., Savazzi, S., Spagnolini, U., Ibras, C.: Virtual MIMO channels in cooperative multi-hop wireless sensor networks. In: 40th Annual Conference on Information Science and Systems, pp. 75–80 (2006)

    Google Scholar 

  15. Gurrala, K.K., Das, S.: Impact of relay location on the performance of multi-relay cooperative communication. Int. J. Comput. Netw. Wirel. Commun. 2, 2250–3501 (2012)

    Google Scholar 

  16. Cho, W., Oh, H.S., Kwak, D.Y.: Effect of relay locations in cooperative networks. In: 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory, Aerospace and Electronic Systems Technology, pp. 737–741 (2009)

    Google Scholar 

  17. Sadek, A.K., Han, K., Liu, J.: Distributed Relay assignment protocols for coverage expansion in cooperative wireless networks. IEEE Wirel. Trans. Mob. Comput. 9, 505–515 (2010)

    Article  Google Scholar 

  18. Laneman, J.N., Tse, D.N.C., Wornell, W.: Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Trans. Inf. Theory 50, 3062–3080 (2004)

    Article  MathSciNet  Google Scholar 

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Correspondence to Said Al-Abri or Zhihua Qu .

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Al-Abri, S., Qu, Z. (2014). Autonomous Coverage Expansion of Mobile Agents via Cooperative Control and Cooperative Communication. In: Natraj, A., Cameron, S., Melhuish, C., Witkowski, M. (eds) Towards Autonomous Robotic Systems. TAROS 2013. Lecture Notes in Computer Science(), vol 8069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43645-5_23

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  • DOI: https://doi.org/10.1007/978-3-662-43645-5_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43644-8

  • Online ISBN: 978-3-662-43645-5

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