A Framework to Increase the Lifetime of a Sensor Network by Dynamic Cluster Head Selection and Re-Clustering
Vivek Yadav1, M. Pushpalatha2

1Vivek Yadav, Department of Computer Science and Engineering, SRM University, Chennai (Tamil Nadu), India.
2Dr. M. Pushpalatha, Professor, Department of Computer Science and Engineering , SRM University, Chennai (Tamil Nadu), India.
Manuscript received on 10 May 2014 | Revised Manuscript received on 20 May 2014 | Manuscript Published on 30 May 2014 | PP: 10-14 | Volume-3 Issue-12, May 2014 | Retrieval Number: L16360531214/14©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In spatial correlated sensor networks, nearby sensor nodes show a high degree of similarity in their readings. Keeping this in mind, the monitored region is divided into clusters and one cluster head is assigned to a cluster which does the sensing work while other nodes are in sleep state. This results in considerable energy savings as only one cluster head representing other nodes in the cluster does the sensing and transmitting work. In this paper, a framework is proposed to add functionality to existing networks so as to increase the networks lifetime and also aid in better tracking of unusual phenomena such as forest fires. Increasing the lifetime has been done by the use of dynamic multiple cluster heads and tracking of unusual phenomena has been done on the basis of outlier detection.
Keywords: Lifetime Optimization, Spatial Correlation, Dynamic Cluster Head Selection.

Scope of the Article: Clustering