Density Grid-based Clustering for Wireless Sensors Networks
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference30 articles.
1. R. K. Kushwaha . S. Kar . (2010). Development of the grooming techniques for reducing network traffic in sensor networks. IEEE Sixth International Conference on Wireless Communication and Sensor Networks (WCSN).
2. Z.W. Siew, A. Kiring, H.T. Yew, P. Neelakantan and K.T.K. Teo . (2011). Energy Efficient Clustering Algorithm in Wireless Sensor Networks using Fuzzy Logic Control. IEEE colloquium on humanities, Sconce and engineering research.
3. W. Heinzelman, (2000) “Application-specific protocol architectures for wireless networks,” Ph.D. dissertation, MIT, 2000.
4. Tie Luo, Hwee-Pink Tan, and Tony Q. S. Quek. (2012) Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks Dynamic. IEEE COMMUNICATIONS LETTERS, VOL. 16, NO. 11, NOVEMBER 2012.
5. Mo Haghighi. Chris J. Musselle. (2013). Dynamic Collaborative Change Point Detection in Wireless Sensor Networks. International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.
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