Research Article | OPEN ACCESS
Increasing the Life Time of the Network by Adjusting the Transmission Power of Nodes Based on Received Signal Strength in Wireless Sensor Networks
1S. Jegadeesan and 2G.K.D. Prasanna Venkatesan
1Department of ECE, V.S.B Engineering College, Karur, Tamil Nadu, India
2Department of ECE, SNS College of Engineering, Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology 2014 18:1944-1952
Received: June 17, 2014 | Accepted: July 19, 2014 | Published: November 15, 2014
Abstract
Transmission Range Adjustment plays an important role in the data transmission within the wireless sensor networks and enhancing the utility of data collected by enabling sensors. Received Signal Strength (RSS) is used to determine the location from which each data packet is obtained. This study proposes the Range adjustment using Received Signal Strength measurement for two ray ground propagation model. Simulation results validate that the proposed Range Adjustment Protocol significantly outperforms the Link-Aware clustering technique with better packet delivery ratio, better energy consumption and improved Accuracy. Wireless Sensor Networks (WSN) are becoming ubiquitous and their application areas are widening by the day. In wireless sensor networks, by adjusting the transmission power based on received signal strength, we can improve the life time of the network.
Keywords:
Clustering, energy efficient, network simulator, received signal strength, routing, wireless sensor network,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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