Hybrid Optimized Fuzzy Based Cluster Head Selection for WSN Data Communication in IoT Environment

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2022 by IJETT Journal
Volume-70 Issue-7
Year of Publication : 2022
Authors : Kanakaraju R, Arun Vikas Singh
DOI : 10.14445/22315381/IJETT-V70I7P244

How to Cite?

Kanakaraju R, Arun Vikas Singh, "Hybrid Optimized Fuzzy Based Cluster Head Selection for WSN Data Communication in IoT Environment" International Journal of Engineering Trends and Technology, vol. 70, no. 7, pp. 422-437, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I7P244

Abstract
Wireless Sensor Network (WSN) is resource-constrained and is applied in different applications, namely health care observation, home monitoring, military systems, etc. Moreover, these applications are interconnected with various devices, which are proficiently interrelating with each other with the Internet, and it is called the Internet of Things (IoT). Usually, WSN is a most significant role over IoT structure. The sensors are arbitrarily located in harsh environments where communication networks experience various privacy problems in WSN, which is critical for data transmission. This paper's Political Caviar Social Optimization Algorithm (PCSOA) is developed for Cluster Head Selection (CHS) for WSN data communication in IoT structure. The Deep Residual Network (DRN) is applied for predicting energy and is trained by the developed Political Caviar Social Optimization Algorithm (PCSOA). Moreover, an Adaptive Genetic Fuzzy System (AGFS) with various objectives, like residual energy, predicted energy, distance, trust factors, Link Life Time (LLT), and delay, is utilized for selecting CHs. In addition, PCSOA is employed for effective routing considering fitness parameters as different objectives. The proposed DRN+PCSOA outperformed other methods delay, distance, residual energy, and trust by 0.1941sec, 55.63m, 0.1991J, and 0.6109, respectively

Keywords
Routing, Adaptive Genetic Fuzzy System, Political Optimizer, Link Life Time model, Wireless Sensor Network.

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