Reducing Delay and Network Load through Adaptive Threshold-Based Rate Control in IoT Systems
Constrained Networks; Contiki OS; Internet of Things; Network Optimization; Network Simulation; Rate Control; Threshold-based Control
Some of the major challenges in managing IoT networks, which are normally resource-constrained, come from restricted bandwidth, processing power, and energy supplies. Traditional random transmission usually leads to network overload, increased packet delays, and inefficient use of resources. This paper reviews smart rate control mechanisms designed for IoT networks that have limited resources. We analyze and contrast random baseline transmission against threshold-based adaptive control methods by way of extensive simulation runs under realistic network scenarios via the Contiki-Cooja framework. Our experimental results have shown that threshold-based rate control can achieve as much as 31% reduction in average packet delay and 62% reduction in network load when compared with traditional random transmission techniques. Threshold-based rate control represents a deployable and practical solution that properly balances the tradeoff between performance enhancement and computational ease and thus is a good match for real-world IoT deployments over actual resource-constrained networks. Hybrid machine learning, multiobjective optimization, federated learning, and context-aware mechanisms might be potential avenues of future research toward enhancing the performance of IoT systems. 2025 IEEE.
Singh, Pushpendra; Sinha, Somnath; Dutta, Binayak
2025 1st International Conference on Advancement in Futuristic Technologies, ICAFT 2025;
Institute of Electrical and Electronics Engineers Inc.
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1109/ICAFT66710.2025.11452759 https://www.scopus.com/pages/publications/105037336256?origin=resultslist
Singh P., Christ University, Dept. of Computer Science, Bangalore, India; Sinha S., Christ University, Dept. of Computer Science, Bangalore, India; Dutta B., Christ University, Dept. of Computer Science, Bangalore, India