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Research Article | Open Access |

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) · Vol. 12, No. 7 · Published 2021

DOI: https://doi.org/10.14569/IJACSA.2021.0120714

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

How to Cite this Article

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

P, Kavya A, and D J Ravi. "Snapshot of Energy Optimization Techniques to Leverage Life of Wireless Sensor Network." International Journal of Advanced Computer Science and Applications, vol. 12, no. 7, 2021, https://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},
  volume    = {12},
  number    = {7},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Kavya A P and D J Ravi},
  doi       = {10.14569/IJACSA.2021.0120714},
  url       = {https://doi.org/10.14569/IJACSA.2021.0120714}
}

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