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DOI: 10.14569/IJACSA.2021.0120714
PDF

Snapshot of Energy Optimization Techniques to Leverage Life of Wireless Sensor Network

Author 1: Kavya A P
Author 2: D J Ravi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 7, 2021.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Energy Optimization in Wireless Sensor Network (WSN) deals with the techniques which targets higher degree of energy efficiency using resource-constraint sensor nodes with minimal inclusion of any different variants of resources. At present, there are various approaches and techniques towards addressing the problems of energy but not all the research implications can be considered as optimized approach. Therefore, this paper reviews all the existing energy optimization schemes, categorizes them, briefly discuss about their strength and weakness to offer a compact snapshot of existing energy optimization techniques in WSN. The paper also contributes towards exploring the updates research trends and highlights about the open-end research problems in WSN. It is anticipated that the study findings of this manuscript will offer a true picture of study effectiveness in dealing with energy challenges so that favorable direction of investigation towards evolving up optimized solution comes up with promising outcome.

Keywords: Battery; energy efficiency; energy optimization; network lifetime; sensor node; wireless sensor network

Kavya A P and D J Ravi, “Snapshot of Energy Optimization Techniques to Leverage Life of Wireless Sensor Network” International Journal of Advanced Computer Science and Applications(IJACSA), 12(7), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120714

@article{P2021,
title = {Snapshot of Energy Optimization Techniques to Leverage Life of Wireless Sensor Network},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120714},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120714},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {7},
author = {Kavya A P and D J Ravi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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