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A New Green-Scheduling Approach to Maximize Wireless Multimedia Networking Lifetime via Packet and Path Diversity

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Reliable and Autonomous Computational Science

Part of the book series: Autonomic Systems ((ASYS))

Summary

Green computing has recently been proposed to reduce energy cost in computer systems. However, the application of green computing to Wireless Multimedia Networking (WMN) has seldom been reported in literature. In this paper we propose a new traffic scheduling approach in WMN to support green computing and energy efficient communications, and thus to improve network availability and reliability. The main contribution of the proposed approach is the network lifetime maximization for battery powered WMN by considering energy consumption and multimedia quality tradeoff. In the proposed approach, the multimedia packet and path diversity are jointly explored, and the residue energy discrepancy is minimized among nodes’ batteries subject to a lower bound of multimedia distortion requirement. Simulation results demonstrate that the proposed approach can significantly improve the energy utilization balance among WMN nodes compared with traditional media-quality optimized approach, and thus significantly extending the battery powered WMN network lifetime.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD, 57007, USA

    Wei Wang & Sung Shin

Authors
  1. Wei Wang
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  2. Sung Shin
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Corresponding author

Correspondence to Wei Wang .

Editor information

Editors and Affiliations

  1. , EE & Computer Science Department, South Dakota State University, Brookings, 57007, South Dakota, USA

    Sung Y. Shin

  2. , Center for Rural Health Research & Educa, University of Wyoming, 1000 E. University Ave., Laramie, 82071, Wyoming, USA

    Rex Gantenbein

  3. , of Computer Science and Information Engi, National Taiwan University, Taipei, 10617, Taiwan R.O.C.

    Tei-Wei Kuo

  4. , Operating Systems Lab., School of Computing, Soongsil University, Seoul, 156-743, Korea, Republic of (South Korea)

    Jiman Hong

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© 2011 Springer Basel AG

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Wang, W., Shin, S. (2011). A New Green-Scheduling Approach to Maximize Wireless Multimedia Networking Lifetime via Packet and Path Diversity. In: Shin, S., Gantenbein, R., Kuo, TW., Hong, J. (eds) Reliable and Autonomous Computational Science. Autonomic Systems. Springer, Basel. https://doi.org/10.1007/978-3-0348-0031-0_9

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  • DOI: https://doi.org/10.1007/978-3-0348-0031-0_9

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  • Publisher Name: Springer, Basel

  • Print ISBN: 978-3-0348-0030-3

  • Online ISBN: 978-3-0348-0031-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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