A Novel Distance for Clustering to Support Mixed Data Attributes and Promote Data Reliability and Network Lifetime in Large Scale Wireless Sensor Networks-Reference-Cited by-同舟云学术

A Novel Distance for Clustering to Support Mixed Data Attributes and Promote Data Reliability and Network Lifetime in Large Scale Wireless Sensor Networks

Published:2012 Issue: Volume:30 Page:669-677
ISSN:1877-7058
Container-title:Procedia Engineering
language:en
Short-container-title:Procedia Engineering

Author:

ChitraDevi N.,Palanisamy V.,Baskaran K.,Prabeela S.

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference20 articles.

1. Wireless Sensor Networks: a Survey”;Akyildiz;Computer Networks,2002

2. Jian Yin Madria, S.K., “A Hierarchical Secure Routing Protocol against Black Hole Attacks in Sensor Networks” in the Proceedings of IEEE Conference on SensorNnetworks, Ubiquitous and Trustworthy Computing (2006), vol 1, pp. 1-8.

3. Rajasegarar,S., Leckie, C., Palaniswami,M. and Bezdek,J.C. (2006) “Distributed Anomaly DetectioninWireless Sensor Networks”, Proceedings of IEEEICCS. .

4. Chitra Devi.N et al, “Efficient Distributed Clustering Based Anomaly Detection Algorithm for Sensor Stream in Clustered Wireless Sensor Networks”, European Journal of Scientific Research , June 2011, Vol. 54(4), pp. 484-498,.

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