Turkish Journal of Electrical Engineering and Computer Sciences
Author ORCID Identifier
MUHAMMAD HJOUJ BTOUSH: 0000-0002-1730-7135
ASHRAF S. MASHALEH: 0009-0000-5035-7751
AMJAD GAWANMEH: 0000-0002-3897-0681
Abstract
The deployment of Internet of things (IoT) networks powered by renewable energy sources presents unique challenges in balancing security requirements, energy efficiency, and communication reliability. This paper presents a comprehensive multiobjective optimization framework for secure renewable energy IoT nodes that addresses fundamental trade-offs between these competing objectives. We develop a mathematical model incorporating energy harvesting dynamics, security protocols, and communication performance metrics across various environmental scenarios. The proposed framework employs a modified NSGA-II algorithm to identify Pareto-optimal configurations for different deployment contexts. Through extensive simulation analysis, we demonstrate that hybrid energy sources (solar-wind combinations) with lightweight security protocols achieve optimal balance across performance metrics. The results show that each security level increment reduces energy efficiency by approximately 7.5%, while hybrid configurations maintain 15-20% higher reliability compared to single-source alternatives across varied environmental conditions. The framework provides practical guidelines for IoT deployment strategies in sustainable applications.
DOI
10.55730/1300-0632.4183
Keywords
IoT security, renewable energy, multiobjective optimization, energy harvesting, NSGA-II, communication reliability
First Page
419
Last Page
436
Publisher
The Scientific and Technological Research Council of Türkiye (TÜBİTAK)
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
HJOUJ BTOUSH, M, MASHALEH, A, & GAWANMEH, A (2026). Multiobjective optimization framework for renewable energy IoT networks balancing security, energy efficiency, and communication reliability. Turkish Journal of Electrical Engineering and Computer Sciences 34 (3): 419-436. https://doi.org/10.55730/1300-0632.4183
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Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons