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SPSA Based Packet Size Optimization Algorithm in Wireless Sensor Networks

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Wireless Algorithms, Systems, and Applications (WASA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7405))

Abstract

During the data aggregation in wireless sensor networks, the size of transmitted data packet is an important parameter which will influence the energy consumption efficiency (ECE) of sensor nodes directly. Therefore, it is a key topic to optimize the packet size to maximize ECE. In this paper, a novel model is set up to describe the relationship between ECE and the packet size, wireless transceivers, communication protocols and channels. Then a Simultaneous Perturbation Stochastic Approximation (SPSA) theory based packet size optimization algorithm is proposed in two communication models, and we demonstrate the validity of algorithm compared with the method of numerical analysis in extensive simulation experiments.

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References

  1. Le-Trung, Q., Taherkordi, A., Skele, T.: Information Storage, Reduction and Dissemination in Sensor Networks: A Survey. In: IEEE Consumer Communications and Networking Conference, pp. 1–6. IEEE Press, Las Vegas (2009)

    Chapter  Google Scholar 

  2. Kulkarni, V.R., Rster, A., Venayagamoorthy, K.G.: Computational Intelligence in Wireless Sensor Networks: A Survey. In: IEEE Communications Survey & Tutorials, pp. 68–96. IEEE Press (2011)

    Google Scholar 

  3. Isaac, J.S., Hancke, P.G., Madhoo, H.: A survey of wireless sensor networks applications from a power utility’s distribution perspective. In: IEEE AFRICON, pp. 1–5. IEEE Press (2011)

    Google Scholar 

  4. Sankarasubramaniam, Y., Akyildiz, I.F., Mclaughlin, S.W.: Energy Efficiency Based Packet Size Optimization in Wireless Sensor Networks. In: IEEE International Workshop on Sensor Network Protocols and Applications, pp. 1–8. IEEE Press, Anchorage AK (2003)

    Chapter  Google Scholar 

  5. Zhao, T., Yang, W.G.: Energy Efficiency Based Packet Size Optimal Design in Wireless Sensor Networks. Journal of the Graduate School of the Chinese Academy of Sciences 25, 161–166 (2008)

    Google Scholar 

  6. Spall, J.C.: Introduction to Stochastic Search and Optimization. John Wiley & Sons, Incorporated, Hoboken (2003)

    Book  MATH  Google Scholar 

  7. Zhang, H.J., Zhao, J., Geng, T.: The improved convergence of SPSA and its application in drive system. In: IEEE Conference on Industrial Electronics and Applications, pp. 662–666. IEEE Press (2009)

    Google Scholar 

  8. Steenis, R., Rivera, E.D.: Plant-friendly signal generation for system identification using a modified SPSA methodology. In: IEEE Conference on Decision and Control, pp. 470–475. IEEE Press (2009)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Xia, N., Feng, R., Xu, L. (2012). SPSA Based Packet Size Optimization Algorithm in Wireless Sensor Networks. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_9

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  • DOI: https://doi.org/10.1007/978-3-642-31869-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31868-9

  • Online ISBN: 978-3-642-31869-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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