METHOD FOR DISTRIBUTING CRYPTOGRAPHIC LOAD BETWEEN MICROCONTROLLERS IN EDGE ARCHITECTURES BASED ON ENERGY MODEL
Keywords:
Edge architecture, Cryptographic workload, microcontrollerAbstract
The article proposes a method for energy-efficient distribution of cryptographic workload between microcontrollers in edge architectures, taking into account their energy profiles. The approach is based on dynamic assessment of residual energy, load, and reliability of nodes. The model supports adaptability to changes in the network and allows reducing total energy consumption by 18–40% compared to baseline strategies. The simulations confirmed the effectiveness of the method for distributed systems with limited resources.
References
Rozlomii, I., Naumenko, S., Mykhailovskyi, P., & Monarkh, V. (2024, October). Resource-Saving Cryptography for Microcontrollers in Biomedical Devices. In 2024 IEEE 5th KhPI Week on Advanced Technology (KhPIWeek) (pp. 1-5). IEEE.
Rozlomii, I., & Naumenko, S. (2024). Моделювання взаємовпливу інформаційної безпеки та обчислювальних витрат у вбудованих пристроях. Computer-Integrated technologies: education, science, production, (57), 139-145.
