An Energy-Efficient and State-Aware Path Selection Technique in the Internet of Things

Authors

  • A. Thomas Felix and P. Calduwel Newton

Keywords:

Sensor nodes, genetic algorithm, grey wolf optimization, localization, anchor nodes, chromosomes

Abstract

Recent developments in sensor and networking technologies have driven the growth ofInternet of Things (IoT) applications. In non-rechargeable environments, IoT devices aredecentralized systems with autonomous nodes that are limited in resources due to a lack of continuous connectivity or battery life

References

Mohammed Mohammed, Zaynab Saeed Hameed, Israa Ali Al Al-Neami, Sergey Drominko, and Erina Kovachiskaya. Reduce Energy Consumption and Increase Lifetime via Genetic Algorithm over Wireless Communication Networks. Journal of Intelligent Systems and Internet of Things [Internet]. 2025;14(2):36–43. Available from: http://dx.doi.org/10.54216/jisiot.140204

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Published

2024-01-15

How to Cite

A. Thomas Felix and P. Calduwel Newton. (2024). An Energy-Efficient and State-Aware Path Selection Technique in the Internet of Things. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 1038–1072. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3784

Issue

Vol. 32 No. 1 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.