A Study on Network Latency in the Concentric Clustering Scheme

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 214)

Abstract

A wireless sensor network is composed of numerous sensor nodes. There are two kinds of routing protocol for sensor neworks such as a flat-based and a hierarchical-based routing protocol. In a hierarchial-based routing protocol, the role of sensor nodes is different to reduce their energy consumption. In our previous paper, we proposed concentric clustering scheme to reduce the total residual energy of a sensor network. It is one of hierarchical-based routing protocols. There are some simulation result to show that the scheme is better than existing routing protocol. However, their are no consideration of the wireless communication characteristics in this simulation result. We should to apply these characteristics to the scheme to get precise simulation result. In particular, the network letency is important factor in the wireless communication. So, we proposed the approaches to apply network latency by using some equations. We compare a total residual energy between a conecentric clustering scheme with a consideration of network latency and without it. As shown the simulation results, energy consumption from network latency is significant and we should to apply it to get the practical simulation results.

Keywords

Sensor network Concentric clustering scheme Network latency 

Notes

Acknowledgments

This work was supported by the IT R&D program of MKE/KEIT. [KI001810039260, Integrated dev-environment for personal, biz-customized open mobile cloud service and Collaboration tech for heterogeneous devices on server].

References

  1. 1.
    Canete, E., Diaz, M., Llopis, L., Rubio, B.: HERO: A hierarchical, efficient and reliable routing protocol for wireless sensor and actor networks. Comput. Commun. 35(11), 1392–1409 (2012)CrossRefGoogle Scholar
  2. 2.
    Jung, S.M., Han, Y.J., Chung, T.M.: The concentric-cluster routing scheme adapted to large-scale sensor networks. In: International conference on advances in mobile computing and multimedia, pp. 187–197 (2007)Google Scholar
  3. 3.
    Younis, O., Fahmy, S.: HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3(4), 366–379 (2004)CrossRefGoogle Scholar
  4. 4.
    Kim, T.K., Lim, H.J., Chung, T.M.: Service negotiation model for response time in distributes networks. Comput. and inform. 23(4), 395–405 (2004)MATHGoogle Scholar
  5. 5.
    Gong, L., Sun, X.H., Watson, E.F.: Performance modeling and prediction of nondedicated network computing. IEEE Trans. Comput. 51(9), 1041–1055 (2002)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Sung-Min Jung
    • 1
  • Tae-Kyung Kim
    • 2
  • Tai-Myoung Chung
    • 3
  1. 1.Department of Electrical and Computer EngineeringSungkyunkwan UniversityJangan-gu, Suwon-siKorea
  2. 2.Department of Liberal ArtSeoul Theological UniversitySosa-gu, Bucheon-siKorea
  3. 3.College of Information and Communication EngineeringSungkyunkwan UniversityJangan-gu, Suwon-siKorea

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