TOKEN BASED APPROACH FOR RESOURCE MANAGEMENT IN IOT EDGE NETWORKS

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Nazarbayev University School of Engineering and Digital Sciences

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The growth of the Internet of Things has created challenges in managing network resources and preventing mali- cious users from exploiting the system. Traditional networking approaches lack scalability and the flexibility to adapt to dy- namic resource demands. This project presents an approach to managing IoT edge networks using SDN (Floodlight), simulated blockchain token systems (Ganache), and Dockerized IoT nodes. We successfully implemented a system that filters abnormal requests, incentivizes computational fairness, and visualizes token balance over time. Results show effective request management and traceable resource consumption using blockchain logic.

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Aubakirov, Y., Tursyn, Y., Maratov, Y., Sakenuly, M., & Kadirov, N. (2025). Token Based Approach for Resource Management in IoT Edge Networks. Nazarbayev University School of Engineering and Digital Sciences.

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Except where otherwised noted, this item's license is described as Attribution-ShareAlike 3.0 United States