Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Pushpendra; Sinha, Somnath; Dutta, Binayak Title A name given to the resource Reducing Delay and Network Load through Adaptive Threshold-Based Rate Control in IoT Systems Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 1st International Conference on Advancement in Futuristic Technologies, ICAFT 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAFT66710.2025.11452759" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAFT66710.2025.11452759</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037336256?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037336256?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource Constrained Networks; Contiki OS; Internet of Things; Network Optimization; Network Simulation; Rate Control; Threshold-based Control Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833157159-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online