What question did this study set out to answer?

To develop and evaluate a reinforcement learning-based congestion-aware routing algorithm that optimizes forwarding decisions and mitigates network congestion in resource-constrained IoT sensor networks.

August 19, 2026Discover ComputingOpen Access

An intelligent reinforcement learning framework for congestion aware routing in IoT sensor networks

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Authors

MSM. Sunitha MPMangalapally PrashanthGoethe-Institute United Kingdom YSYenugula Swapna

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Implication

Simulation study demonstrates improved packet delivery and reduced queue loss in IoT sensor networks, highlighting the value of reinforcement learning for adaptive routing.

Key Points

To develop and evaluate a reinforcement learning-based congestion-aware routing algorithm that optimizes forwarding decisions and mitigates network congestion in resource-constrained IoT sensor networks.
Formulated routing as a reinforcement learning framework utilizing candidate states, actions, and congestion-based reward functions integrating queue backlog, link quality, and adaptive control metrics.
Conducted simulations in MATLAB using a 30-node IEEE 802.15.4 network across traffic intensities from 30 to 120 packets per minute per node, benchmarking against CL, HOF, DQN, DDQN, and multi-agent reinforcement learning approaches.
Achieved a packet delivery ratio of 97% under light traffic (30 packets/min/node) and sustained a 70% delivery ratio under heavy traffic conditions.
Reduced the queue loss ratio to 18% during peak traffic loads of 120 packets per minute per node.

Cite This Study

Sunitha et al. (2026) studied this question.

synapsesocial.com/papers/6a8563d703308d306e2d73cc https://doi.org/10.1007/s10791-026-10464-8

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Implication

Simulation study demonstrates improved packet delivery and reduced queue loss in IoT sensor networks, highlighting the value of reinforcement learning for adaptive routing.

An intelligent reinforcement learning framework for congestion aware routing in IoT sensor networks

Discussion

Member takes

Implication

Key Points

Cite This Study

An intelligent reinforcement learning framework for congestion aware routing in IoT sensor networks

Discussion

Member takes

Implication

Key Points

Cite This Study

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