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Opportunistic Transmission for Wireless Sensor Networks Under Delay Constraints

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Computational Science and Its Applications – ICCSA 2007 (ICCSA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4707))

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Abstract

We propose an opportunistic transmission strategy for wireless sensor networks (WSNs) that operate in a strict energy-constrained environment. The WSNs of interest in this work are assumed to host delay-sensitive applications. Our proposed transmission strategy named binary-decision based transmission (BDT) attempts to transmit at good channel conditions while meeting the delay constraint, under time-varying wireless channel. The Markov decision process (MDP) is used to find optimum threshold for transmission decision. Our BDT scheme initiates transmission only when the channel quality exceeds the optimum threshold, so that unsuccessful transmissions causing a waste of energy are avoided whenever possible. Extensive simulations are performed to verify the performance of our proposal over wireless fading channels. The simulation results show that the BDT scheme has 35% higher energy efficiency than its counterparts, thereby further prolonging the network lifetime.

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References

  1. Akyildiz, I., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)

    Article  Google Scholar 

  2. Ephremides, A.: Energy concerns in wireless networks. IEEE Wireless Commun. 9(4), 48–59 (2002)

    Article  Google Scholar 

  3. Stark, W., Wang, H., Worthen, A., Lafortune, S., Teneketzis, D.: Low-energy wireless communication network design. IEEE Wireless Commun. 9(4), 60–72 (2002)

    Article  Google Scholar 

  4. Min, R., Bhardwaj, M., Cho, S.H., Ickes, N., Shih, E., Sinha, A., Wang, A., Chandrakasan, A.: Energy-centric enabling technologies for wireless sensor networks. IEEE Wireless Commun. 9(4), 28–39 (2002)

    Article  Google Scholar 

  5. Goldsmith, A.J., Wicker, S.B.: Design challenges for energy-constrained ad hoc wireless networks. IEEE Wireless Commun. 9(4), 8–27 (2002)

    Article  Google Scholar 

  6. Ci, S., Sharif, H., Nuli, K.: Study of an adaptive frame size predictor to enhance energy conservation in wireless sensor networks. IEEE J. Select. Areas in Commun. 23(2), 282–292 (2005)

    Article  Google Scholar 

  7. Wang, J., Zhai, H., Fang, Y.: Opportunistic packet scheduling and media access control for wireless LANs and multi-hop ad hoc networks. In: Proc. WCNC’04. vol. 3, pp. 1234–1239 (March 2004)

    Google Scholar 

  8. Hoang, A.T., Motani, M.: Buffer and channel adaptive transmission over fading channels with imperfect channel state information. In: Proc. WCNC’04. vol. 3, pp. 1891–1896 (March 2004)

    Google Scholar 

  9. Holland, G., Vaidya, N.H., Bahl, P.: A rate-adaptive MAC protocol for multi-hop wireless networks. In: Proc. MOBICOM 2001, pp. 236–251 (July 2001)

    Google Scholar 

  10. Phan, C.V., Kim, J.G.: An energy-efficient transmission strategy for wireless sensor networks. In: Proc. WCNC ’07 (March 2007)

    Google Scholar 

  11. IEEE Std. 802.11. Wireless LAN Medium Access Control (MAC) and Physical layer (PHY) Specifications (June 1999)

    Google Scholar 

  12. Puterman, M.L.: Markov decision processes: discrete schochastic dynamic progrmaming Hoboken. John Wiley & Sons, New Jersey (1998)

    Google Scholar 

  13. Wang, H.S., Moayeri, N.: Finite-state Markov channel-a useful model for radio communication channels. IEEE Trans. Veh. Technol. 44(1), 163–171 (1995)

    Article  Google Scholar 

  14. Sutton, R.S., Barto, A.G.: Reinforcement learning: an introduction. MIT Press, Cambridge (1998)

    Google Scholar 

  15. Charles, C., Liu, K.J.R.: Near-optimal reinforcement learning framework for energy-aware sensor communications. IEEE J. Select. Areas in Commun. 23(4), 788–797 (2005)

    Article  Google Scholar 

  16. Angel, G.D., Fine, T.L.: Optimal power and retransmission control policies for random access systems. IEEE/ACM Trans. Networking 12(6), 1156–1166 (2004)

    Article  Google Scholar 

  17. Pham, P.P., Perreau, S., Jayasuriya, A.: New cross-layer design approach to ad hoc networks under Rayleigh fading. IEEE J. Select. Areas in Commun. 23(1), 28–39 (2005)

    Article  Google Scholar 

  18. Chen, Y., Zhao, Q.: On the lifetime of wireless sensor networks. IEEE Commun. Lett. 9(11), 976–978 (2005)

    Article  Google Scholar 

  19. Chen, Y., Zhao, Q.: Maximizing the lifetime of sensor network using local information on channel state and residual energy. In: Proc. CISS ’05 (March 2005)

    Google Scholar 

  20. Fu, A., Modiano, E., Tsitsiklis, J.N.: Optimal transmission scheduling over a fading channel with energy and deadline constraints. IEEE Wireless Commun. 5(3), 630–641 (2006)

    Article  Google Scholar 

  21. Johnston, L.A., Krishnamurthy, V.: Optimality of threshold transmission policies in Gilbert Elliott fading channels. In: Proc. ICC ’03, vol. 2, pp. 1233–1237 (May 2003)

    Google Scholar 

  22. Zhang, D., Wasserman, K.M.: Energy efficient data communication over fading channels. In: Proc. WCNC ’00, vol. 3, pp. 986–991 (September 2000)

    Google Scholar 

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Osvaldo Gervasi Marina L. Gavrilova

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© 2007 Springer-Verlag Berlin Heidelberg

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Van Phan, C., Baek, K., Kim, J.G. (2007). Opportunistic Transmission for Wireless Sensor Networks Under Delay Constraints. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74484-9_73

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  • DOI: https://doi.org/10.1007/978-3-540-74484-9_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74482-5

  • Online ISBN: 978-3-540-74484-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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