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The Scientific World Journal
Volume 2015, Article ID 185198, 9 pages
http://dx.doi.org/10.1155/2015/185198
Research Article

Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks

1Department of Computer Science and Engineering, Anna University Regional Office Madurai, Madurai 625 007, India
2Department of Information Technology, K.L.N. College of Engineering, Pottapalayam 630 611, India

Received 27 February 2015; Accepted 13 April 2015

Academic Editor: Venkatesh Jaganathan

Copyright © 2015 E. Srie Vidhya Janani and P. Ganesh Kumar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The energy utilization of sensor nodes in large scale wireless sensor network points out the crucial need for scalable and energy efficient clustering protocols. Since sensor nodes usually operate on batteries, the maximum utility of network is greatly dependent on ideal usage of energy leftover in these sensor nodes. In this paper, we propose an Energy Efficient Cluster Based Scheduling Scheme for wireless sensor networks that balances the sensor network lifetime and energy efficiency. In the first phase of our proposed scheme, cluster topology is discovered and cluster head is chosen based on remaining energy level. The cluster head monitors the network energy threshold value to identify the energy drain rate of all its cluster members. In the second phase, scheduling algorithm is presented to allocate time slots to cluster member data packets. Here congestion occurrence is totally avoided. In the third phase, energy consumption model is proposed to maintain maximum residual energy level across the network. Moreover, we also propose a new packet format which is given to all cluster member nodes. The simulation results prove that the proposed scheme greatly contributes to maximum network lifetime, high energy, reduced overhead, and maximum delivery ratio.