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Energy-Aware Improved Directed Diffusion Algorithm for Area Event Monitoring in Wireless Sensor Network

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Distributed Computing and Internet Technology (ICDCIT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4317))

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Abstract

In this paper, we devise and evaluate an Energy-aware Improved Directed Diffusion (EIDD) algorithm for area event monitoring in wireless sensor network. Through Diffusion of different type interest, a gathering node is chose to build an aggregate tree to gather and aggregate data in the event area. Meanwhile, we improve the way using to build the gradient field in original Directed Diffusion. The new way can find more logical route by taking residual energy as a key element. The simulation results show that EIDD gains better energy efficiency, data collection efficiency and lesser transmission delay compared with original Directed Diffusion.

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Author information

Authors and Affiliations

  1. Institute of Telecommunications and Information Systems, College of Information, Science & Engineering, Northeastern University, ShenYang, 110004, P.R. China

    Bin Guo, Zhe Li & Dan Li

Authors
  1. Bin Guo
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  2. Zhe Li
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  3. Dan Li
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Missouri-Rolla, USA

    Sanjay K. Madria

  2. MIT Lincoln Laboratories,  

    Kajal T. Claypool

  3. Dept of CS, Louisiana State University, 70803, Baton Rouge, LA

    Rajgopal Kannan

  4. Department of Computer Science, Radford University, 24060, Radford, VA, USA

    Prem Uppuluri

  5. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, India

    Manoj Madhava Gore

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© 2006 Springer-Verlag Berlin Heidelberg

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Guo, B., Li, Z., Li, D. (2006). Energy-Aware Improved Directed Diffusion Algorithm for Area Event Monitoring in Wireless Sensor Network. In: Madria, S.K., Claypool, K.T., Kannan, R., Uppuluri, P., Gore, M.M. (eds) Distributed Computing and Internet Technology. ICDCIT 2006. Lecture Notes in Computer Science, vol 4317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11951957_4

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  • DOI: https://doi.org/10.1007/11951957_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68379-7

  • Online ISBN: 978-3-540-68380-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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