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AEECA for Reliable Communication to Enhance the Network Life Time for WSN

Ganesh Jayaraman1,*, V R Sarma Dhulipala2

1 Department of Computer Science & Engineering, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Tamil Nadu, India
2 Department of Physics, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India

* Corresponding Author: Ganesh Jayaraman. Email: email

Intelligent Automation & Soft Computing 2023, 35(2), 1705-1719. https://doi.org/10.32604/iasc.2023.025253

Abstract

Nowadays, wireless sensor networks play a vital role in our day to day life. Wireless communication is preferred for many sensing applications due its convenience, flexibility and effectiveness. The sensors to sense the environmental factor are versatile and send sensed data to central station wirelessly. The cluster based protocols are provided an optimal solution for enhancing the lifetime of the sensor networks. In this paper, modified K-means ++ algorithm is used to form the cluster and cluster head in an efficient way and the Advanced Energy-Efficient Cluster head selection Algorithm (AEECA) is used to calculate the weighted factor of the transmission path and effective data collection using gateway node. The experimental results show the proposed algorithm outperforms the existing routing algorithms.

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APA Style
Jayaraman, G., Dhulipala, V.R.S. (2023). AEECA for reliable communication to enhance the network life time for WSN. Intelligent Automation & Soft Computing, 35(2), 1705-1719. https://doi.org/10.32604/iasc.2023.025253
Vancouver Style
Jayaraman G, Dhulipala VRS. AEECA for reliable communication to enhance the network life time for WSN. Intell Automat Soft Comput . 2023;35(2):1705-1719 https://doi.org/10.32604/iasc.2023.025253
IEEE Style
G. Jayaraman and V.R.S. Dhulipala, “AEECA for Reliable Communication to Enhance the Network Life Time for WSN,” Intell. Automat. Soft Comput. , vol. 35, no. 2, pp. 1705-1719, 2023. https://doi.org/10.32604/iasc.2023.025253



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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