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

A. Thomas Felix and P. Calduwel Newton

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]. http://dx.doi.org/10.54216/jisiot.140204

2025;14(2):36–43. Available from: Optimized Resource Allocation for IoT Networks Using Genetic Particle Swarm Optimization and Enhanced K-Nearest Neighbor Algorithms. Tehnicki vjesnik - Technical Gazette [Internet]. 2025 Apr 15;32(2). Available from: http://dx.doi.org/10.17559/tv

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Published

2024-01-20

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), 1073–1107. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3787