research-article

CUCKOO-ANN Based Novel Energy-Efficient Optimization Technique for IoT Sensor Node Modelling

Authors:

Deepshikha Bhargava,

B. Prasanalakshmi,

Thavavel Vaiyapuri,

Hemaid Alsulami,

Suhail H. Serbaya,

Abdul Wahab Rahmani Academic Editor:

Shalli RaniAuthors Info & Claims

Wireless Communications and Mobile Computing, Volume 2022

https://doi.org/10.1155/2022/8660245

Published: 01 January 2022 Publication History

Abstract

Wireless sensor networks (WSNs) based on the Internet of Things (IoT) are now one of the most prominent wireless sensor communication technologies. WSNs are often developed for particular applications such as monitoring or tracking in either indoor or outdoor environments, where battery power is a critical consideration. To overcome this issue, several routing approaches have been presented in recent years. Nonetheless, the extension of the network lifetime in light of the sensor capabilities remains an open subject. In this research, a CUCKOO-ANN based optimization technique is applied to obtain a more efficient and dependable energy efficient solution in IoT-WSN. The proposed method uses time constraints to minimize the distance between sources and sink with the objective of a low-cost path. Using the property of CUCKOO method for solving nonlinear problem and utilizing the ANN parallel handling capability, this method is formulated. The resented model holds significant promise since it reduces average execution time, has a high potential for enhancing data centre energy efficiency, and can effectively meet customer service level agreements. By considering the mobility of the nodes, the technique outperformed with an efficiency of 98% compared with other methods. The MATLAB software is used to simulate the proposed model.

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Cited By

Mahaveerakannan RVelmurugan SVijaya Bhaskar SJothi Chitra RKareem ZSakthidasan Sankaran KVenkatesh Kanna TChweya R(2022)HGKMSecurity and Communication Networks10.1155/2022/60003752022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/6000375
Sanober SGoyal DKeshari SArslan FDugbakie B(2022)Secure Wireless Networks Based on Fuzzy Logic for Smart HVAC Systems in Small-Scale IndustriesSecurity and Communication Networks10.1155/2022/36599612022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3659961
Wu XWei DVasgi BOleiwi ABangare SAsenso E(2022)Research on Network Security Situational Awareness Based on Crawler AlgorithmSecurity and Communication Networks10.1155/2022/36391742022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3639174

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Published In

cover image Wireless Communications & Mobile Computing

Wireless Communications & Mobile Computing Volume 2022, Issue

2022

25330 pages

ISSN:1530-8669

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Copyright © 2022 Deepshikha Bhargava et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 01 January 2022

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Cited By

Mahaveerakannan RVelmurugan SVijaya Bhaskar SJothi Chitra RKareem ZSakthidasan Sankaran KVenkatesh Kanna TChweya R(2022)HGKMSecurity and Communication Networks10.1155/2022/60003752022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/6000375
Sanober SGoyal DKeshari SArslan FDugbakie B(2022)Secure Wireless Networks Based on Fuzzy Logic for Smart HVAC Systems in Small-Scale IndustriesSecurity and Communication Networks10.1155/2022/36599612022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3659961
Wu XWei DVasgi BOleiwi ABangare SAsenso E(2022)Research on Network Security Situational Awareness Based on Crawler AlgorithmSecurity and Communication Networks10.1155/2022/36391742022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3639174

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