Advertisement

Power-Saving Scheduling Algorithm for Wireless Sensor Networks

  • Ting-Chu Chi
  • Pin-Jui Chen
  • Wei-Yuan Chang
  • Kai-Chien Yang
  • Der-Jiunn DengEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 260)

Abstract

Due to advances in communications technology in recent years, prompting more extensive application of wireless sensor networks. Such sensors are limited in battery energy supply and produce the energy hole problem, this even causes paralysis of part of the system. In the cluster architecture, burden of the cluster head is bound to become the energy consumption of the maximum point, so our method is focused on reducing energy consumption of the cluster head. To this end, we propose a new scheduling mechanism based on cluster architecture. In this mechanism, we use the “polling” method to make the cluster head have an absolutely effective data receiving. In addition, we also introduced the “sleeping” mechanism to ensure that the cluster head can achieve power saving under the premise of the most effective data receiving.

Keywords

Power saving Wireless sensor networks 

References

  1. 1.
    Muruganathan SD, Ma DCF, Bhasin RI, Fapojuwo AO (2005) A centralized energy-efficient routing protocol for wireless sensor networks. IEEE Commun Mag 43:S8–S13CrossRefGoogle Scholar
  2. 2.
    Noori M, Ardakani M (2008) Characterizing the traffic distribution in linear wireless sensor networks. IEEE Commun Lett 12(8):554–556CrossRefGoogle Scholar
  3. 3.
    Guo P, Jiang T, Zhang K, Chen HH (2009) Clustering algorithm in initialization of multi-hop wireless sensor networks. IEEE Trans Wireless Commun 8(12):5713–5717CrossRefzbMATHGoogle Scholar
  4. 4.
    Dietrich I, Dressler F (2009) On the lifetime of wireless sensor networks. ACM Trans Sens Netw 5(1):Article 5Google Scholar
  5. 5.
    Li J, Mohapatra P (2005) An analytical model for the energy hole problem in many-to-one sensor networks. In: Proceedings of IEEE 62nd vehicular technology conference, vol 4, pp 2721–2725Google Scholar
  6. 6.
    Chen B, Jamieson K, Balakrishnan H, Morris R (2002) Span: an energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. ACM Wireless Netw 8(5):481–494CrossRefzbMATHGoogle Scholar
  7. 7.
    Bouabdallah F, Bouabdallah N, Boutaba R (2009) On balancing energy consumption in wireless sensor networks. IEEE Trans Veh Technol 58(6):2909–2924CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Ting-Chu Chi
    • 1
  • Pin-Jui Chen
    • 1
  • Wei-Yuan Chang
    • 1
  • Kai-Chien Yang
    • 1
  • Der-Jiunn Deng
    • 1
    Email author
  1. 1.Department of Computer Science and Information Engineering National ChanghuaUniversity of EducationTaiwanChina

Personalised recommendations