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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 22 | Page No.: 5446-5451
DOI: 10.3923/jas.2013.5446.5451
A New MAC Protocol for Network Load Sudden Change
Zhang Xiaodan and Li Guang

Abstract: Wireless sensor network generally runs in the dynamic physical environment which outside environment is constantly changing, once some sudden incident happens, sensor network task load will be caused changeable greatly which will affect the network system performance seriously. Therefore, it is very necessary to design a new MAC protocol for network load sudden change. In this study, based on analyzing the advantages and disadvantages of S-MAC protocol and existing methods, we put forward a new improved S-MAC protocol for network load changeable sharply which chooses different methods for different nodes to realize the equity of energy and time delay.

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How to cite this article
Zhang Xiaodan and Li Guang, 2013. A New MAC Protocol for Network Load Sudden Change. Journal of Applied Sciences, 13: 5446-5451.

Keywords: Wireless sensor network, network load sudden change and MAC

REFERENCES

  • Akyildiz, I.F., W. Su, Y. Sankarasubramaniam and E. Cayirci, 2002. A survey on sensor networks. IEEE Commun. Mag., 40: 102-114.
    CrossRef    Direct Link    


  • Chong, C.Y. and S.P. Kumar, 2003. Sensor networks: Evolution, opportunities and challenges. Proc. IEEE, 91: 1247-1256.
    CrossRef    Direct Link    


  • Cramer, J.M., R.A. Scholtz and M.Z. Win, 1999. On the analysis of UWB communication channels. Proceeding of IEEE Military Communications Conference, Volume 2, October 31-November 3, 1999, Atlantic, New Jersey, pp: 1191-1195.


  • Culler, D., D. Estrin and M. Srivastava, 2004. Guest editors' introduction: Overview of sensor networks. Computer, 37: 41-49.
    CrossRef    Direct Link    


  • Pottie, G.J. and W.J. Kaiser, 2000. Wireless integrated network sensors. Commun. ACM, 43: 51-58.
    CrossRef    Direct Link    


  • Zhang, X.D., 2012. A kind of differentiator design algorithm based on IQP. Inform. Int. Interdisciplinary J., 15: 7-14.


  • Zhang, X.D., H. Zhao, P.G. Sun and Y. Xu, 2006. An improved algorithm for reducing Bayesian network inference complexity. Proceedings of the 8th International Conference on Signal Processing, November 16-20, 2006, Beijing. -.


  • Zhang, X.D., D.G. Zhang, D.X. Zhao, X.J. Kang and X.D. Qiao, 2011. A new dynamic method of machine learning from transition examples. J. Software, 6: 2064-2067.
    CrossRef    Direct Link    

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