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Energy-Aware Routing Analysis in Wireless Sensors Network

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Advanced Web and Network Technologies, and Applications (APWeb 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3842))

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Abstract

Applications of sensor networks have become an emerging technology which can monitor a specific area and collect environmental data around the district. The energy of sensor nodes is tightly constrained so that there is a need to control the power consumption in node operations such as transmission and routing. In this paper, we carry out analysis on energy-aware routing in order to minimize the path loss. Our goal is to prolong the network lifetime and ease the management of sensor networks.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong

    Chow Kin Wah, Qing Li & Weijia Jia

Authors
  1. Chow Kin Wah
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  2. Qing Li
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  3. Weijia Jia
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Editor information

Editors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia

    Heng Tao Shen

  2. School of Computer Science and Technology, Heilongjiang University, P.O. Box, 150080, Harbin, China

    Jinbao Li

  3. Department of Computer Science and Engineering, Shanghai Jiatong University, 80 Dongcuan Road, 200240, Shanghai, China

    Minglu Li

  4. Department of Computer Science, College of Liberal Arts and Science, University of Iowa, 52242, Iowa City, IA, USA

    Jun Ni

  5. UNC Chapel Hill,  

    Wei Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Wah, C.K., Li, Q., Jia, W. (2006). Energy-Aware Routing Analysis in Wireless Sensors Network. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_46

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  • DOI: https://doi.org/10.1007/11610496_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31158-4

  • Online ISBN: 978-3-540-32435-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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