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Energy Efficient Dynamic Reconfiguration of Routing Agents for WSN Data Aggregation

  • S. Prabhavathi
  • A. Subramanyam
  • A. Ananda Rao
Conference paper

Abstract

Wireless Sensor Network (WSN) has encapsulated the major attention from the research group owing to its potential features as well as some of its unsolved issues. From the various issues, an energy issue is particularly found to be a root cause of majority of the problems. In the past, there are various research attempts to enhance the network lifetime of WSN, but very few of the studies has proved fruitful. Moreover performing optimization of energy from routing as well as load-balancing perspectives are not witnessed any standard research attempts. Hence, this paper discusses about a framework that uses standard radio and energy model and performs energy optimization by introducing a novel routing agent. The routing agent is incorporated within aggregator node and base station to perform dynamic reconfiguration in case of energy depletion. Compared with standard LEACH algorithm, the proposed technique has better energy efficiency within optimal data aggregation duration.

Keywords

Energy Load balancing Routing Wireless sensor network 

References

  1. 1.
    Chong, C.Y., Kumar, S.P.: Sensor Networks: Evolution, opportunities, and Challenges. Proc. IEEE 91(8), 1247–1256 (2003)CrossRefGoogle Scholar
  2. 2.
    Li, Y., Thai, M.T., Wu, W.: Wireless Sensor Networks And Applications, Springer, Computers, p. 441 (2008)Google Scholar
  3. 3.
    Zou, Y., Chakrabarty, K.: Energy-aware target localization in wireless sensor networks, pervasive computing and communications. In: Proceedings of the 1st IEEE International Conference, pp. 60–67 (2003)Google Scholar
  4. 4.
    Sharma, A., Shinghal, K., Srivastava, N., Singh, R.: Energy management for wireless sensor network nodes. Int. J. Adv. Eng. Technol. 1 (2011)Google Scholar
  5. 5.
    Cardei, M., Thai, M.T., Yingshu, L., Weili, W.: Energy-efficient target coverage in wireless sensor networks, 24th annual joint conference of the ieee computer and communications societies. INFOCOM 3, 1976–1984 (2005)Google Scholar
  6. 6.
    Jang, K.Y., Kim, K.T., Youn, H.Y., Suwon, S.U.: An Energy Efficient Routing Scheme for Wireless Sensor Networks, Comput. Sci. Appl. pp. 399–404 (2007)Google Scholar
  7. 7.
    Katiyar, V., Chand, N., Soni, S.: Clustering algorithms for heterogeneous wireless sensor network: a survey, Int. J. Appl. Eng. Res. 1(2) (2010)Google Scholar
  8. 8.
    Akyildiz, F.: A survey on sensor networks. Comput. J. IEEE Commun. Mag. 40(8), 102–114 (2002)CrossRefGoogle Scholar
  9. 9.
    Chang, H., Leandros, S., Tassiulas, L.: Maximum lifetime routing in wireless sensor networks. Comput. J. IEEE/ACM Trans. Netw. 12(4), 609–619 (2004)CrossRefGoogle Scholar
  10. 10.
    Haggerty, S.D., Lanzisera, S., Taneja, J., Brown, R., Culler, D.: Scale: insights from a Large, Long-Lived Appliance Energy WSN. In: Proceedings of the ACM (2012)Google Scholar
  11. 11.
    Gu, Y., He, L., Zhu, T., He, T.: Achieving energy-synchronized communication in energy-harvesting wireless sensor networks. ACM Trans. Embed. Comput. Syst. (TECS), 13(2) (2014)Google Scholar
  12. 12.
    Alwadi, M., Chetty, G.: Feature selection and energy management for wireless sensor networks. IJCSNS Int. J. Comput. 46 Sci. Netw. Sec. 12(6) (2012)Google Scholar
  13. 13.
    Nikravan, M., Jameii, S.M., Kashani, M.H.: An Intelligent Energy Efficient QoS—Routing Scheme forWSN. (IJAEST) Int. J. Adv. Eng. Sci. Technol. 8(1) (2011)Google Scholar
  14. 14.
    Lakshmi, A., Manisekaran, S.V.: Fuzzified dynamic power control algorithm for wireless sensor networks. Int. J. Eng. Sci. Technol. (IJEST) 3(4), ISSN: 0975-5462 (2011)Google Scholar
  15. 15.
    Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: IEEE Proceedings of the Hawaii International Conference on System Sciences (2000)Google Scholar

Copyright information

© Springer India 2016

Authors and Affiliations

  • S. Prabhavathi
    • 1
  • A. Subramanyam
    • 2
  • A. Ananda Rao
    • 3
  1. 1.Department of CSERYMEC BallaryBallariIndia
  2. 2.Deparmentt of CSEAITSRajampetIndia
  3. 3.JNTUAAnantapurIndia

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