The Method to Diminish Data Delivered by Sensor in Wireless Sensor Network

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Abstract:

Severe energy constraints and limited computing abilities of the nodes in a network present a major challenge in the design and deployment of a wireless sensor network. This thesis aims to present energy efficient algorithm for data delivery in a sensor network. The methodology of data delivery presented in this thesis is based on affine transform and performs coordination compression. Experimental results show that the algorithm can reduce about half of the data amount delivered by the sensor.

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Periodical:

Advanced Materials Research (Volumes 403-408)

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2791-2794

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. A Survey on Sensor Networks. IEEE Communications Magazine, vol. 40, (2002), p.102.

DOI: 10.1109/mcom.2002.1024422

Google Scholar

[2] C. Intanagonwiwat, R. Govindan, D. Estrin. Directed diffusion: A scalable and robust communication paradigm for sensor networks. In: Proc 6th Annual Int't Conf on Mobile Computing and Networks (MobiCOM 2000), Boston MA. (2000), p.56.

DOI: 10.1145/345910.345920

Google Scholar

[3] W.R. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. IN: proceedings of the 33rd Hawaii International Conference on System Science, Hawaii, USA, (2000), p.1.

DOI: 10.1109/hicss.2000.926982

Google Scholar

[4] Cui Yanrong, Cao Jiaheng. Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on21-25 Sept. 2007 p: 2380.

DOI: 10.1109/wicom.2007.2

Google Scholar

[5] Jl. Yu, Huazhong Zhang . Directed Diffusion Based on Clustering and Inquiry for Wireless Sensor Networks, Science and Information Technology (ICCSIT), 2010, p.291.

DOI: 10.1109/iccsit.2010.5564153

Google Scholar

[6] Xinhua Liu, Fangmin Li, Hailan Kuang, Xuehong Wu; Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on Vol 1, 0-0 0 p.5120.

DOI: 10.1109/wcica.2006.1713366

Google Scholar

[7] I. Rothe, H. Susse, K. Voss. The method of normalization to determine invariants. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 18, 1996, p.366.

DOI: 10.1109/34.491618

Google Scholar