Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks

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...

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Main Authors: E. Srie Vidhya Janani, P. Ganesh Kumar
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2015/185198
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spelling doaj-8bb50f6173dc46a0a4597418a2e65ef52020-11-25T02:15:05ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/185198185198Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor NetworksE. Srie Vidhya Janani0P. Ganesh Kumar1Department of Computer Science and Engineering, Anna University Regional Office Madurai, Madurai 625 007, IndiaDepartment of Information Technology, K.L.N. College of Engineering, Pottapalayam 630 611, IndiaThe 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.http://dx.doi.org/10.1155/2015/185198
collection DOAJ
language English
format Article
sources DOAJ
author E. Srie Vidhya Janani
P. Ganesh Kumar
spellingShingle E. Srie Vidhya Janani
P. Ganesh Kumar
Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks
The Scientific World Journal
author_facet E. Srie Vidhya Janani
P. Ganesh Kumar
author_sort E. Srie Vidhya Janani
title Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks
title_short Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks
title_full Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks
title_fullStr Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks
title_full_unstemmed Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks
title_sort energy efficient cluster based scheduling scheme for wireless sensor networks
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2015-01-01
description 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.
url http://dx.doi.org/10.1155/2015/185198
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AT pganeshkumar energyefficientclusterbasedschedulingschemeforwirelesssensornetworks
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