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Hierarchical Gradient Diffusion Algorithm for Wireless Sensor Networks

  • Conference paper
Recent Trends in Applied Artificial Intelligence (IEA/AIE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7906))

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Abstract

In this paper, a hierarchical gradient diffusion algorithm is proposed to solve the transmission problem and the sensor node’s loading problem by adding several relay nodes and arranging the sensor node’s routing path. The proposed hierarchical gradient diffusion aims to balance sensor node’s transmission loading, enhance sensor node’s lifetime, and reduce the data package transmission loss rate. According to the experimental results, the proposed algorithm not only reduces power consumption about 12% but also decreases data loss rate by 85.5% and increases active nodes by about 51.7%.

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Author information

Authors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung City, Taiwan (R.O.C.)

    Hong-Chi Shih, Bin-Yih Liao & Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, Cheng Shiu University, Kaohsiung, Taiwan (R.O.C.)

    Jiun-Huei Ho

  3. Innovative Information Industry Research Center (IIIRC), Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China

    Jeng-Shyang Pan

Authors
  1. Hong-Chi Shih
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  2. Jiun-Huei Ho
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  3. Bin-Yih Liao
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  4. Jeng-Shyang Pan
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University, 78666, San Marcos, TX, USA

    Moonis Ali

  2. Agent Systems Research Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081, Amsterdam, HV, The Netherlands

    Tibor Bosse

  3. Interactive Intelligence Group, Department of Intelligent Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands

    Koen V. Hindriks  & Catholijn M. Jonker  & 

  4. Computational Intelligence Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Mark Hoogendoorn

  5. Agent Systems Research Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Jan Treur

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© 2013 Springer-Verlag Berlin Heidelberg

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Shih, HC., Ho, JH., Liao, BY., Pan, JS. (2013). Hierarchical Gradient Diffusion Algorithm for Wireless Sensor Networks. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_49

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  • DOI: https://doi.org/10.1007/978-3-642-38577-3_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38576-6

  • Online ISBN: 978-3-642-38577-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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