Research on a Sensor Network Communication Optimization Algorithm

Article Preview

Abstract:

The peripheral malfunction will cause the nodes fail to work when there is no central control node in the large scale sensor network. The network cant guarantee the continuity of the communication and service and the communication efficiency will be low in this situation. In order to fix the issue, the paper proposes a correcting fusion algorithm for the sensor network data communication. When the collision of the communication data happens in the sensor network due to the failure of the nodes, the correcting fusion algorithm can ensure the effective data fusion between the fault nodes and other nodes to guarantee the communication to the maximum extent. The experiment indicates the algorithm can increase the efficiency of the sensor network to achieve the satisfactory results.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

1031-1034

Citation:

Online since:

September 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Richard Bellman. A Markovian Decision Process[J]. Indiana Univ. Math. J. 6 No. 4(1957), 679–684.

DOI: 10.1512/iumj.1957.6.56038

Google Scholar

[2] Watkins, C.J.C.H. Learning from Delayed Rewards[]. Ph.D. thesis, Cambridge University. (1989).

Google Scholar

[3] Feilong Tang, Minyi Guo, Minglu Li, et all. Wireless Mesh Sensor Networks in Pervasive Environment: a Reliable Architecture and Routing Protocol[C], icppw, p.72, 2007 International Conference on Parallel Processing Workshops (ICPPW 2007), (2007).

DOI: 10.1109/icppw.2007.83

Google Scholar

[4] Sanjay Shakkottai, Srikant R, Ness Shroff. Unreliable Sensor Grids: Coverage, Connectivity and Diameter[C]. Proceedings of IEEE Infocom, 2003: 1073-1082.

DOI: 10.1109/infcom.2003.1208944

Google Scholar

[5] Vasilios Darlagiannis, Andreas Mauthe. Overlay Design Mechanisms for Heterogeneous, Large-Scale, Dynamic P2P Systems[J]. Journal of Network and Systems Management, Vo1. 12, No. 3, September2004.

DOI: 10.1023/b:jons.0000043686.04679.03

Google Scholar