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Bathula Prasanna Kumar on Muck Rack

Bathula Prasanna Kumar

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Articles

A dynamic reward framework for scalable and efficient IoT-WSN routing using deep reinforcement learning

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By Suresh Betam, S. Aravinth, Quadri Noorulhasan Naveed, Saiful Islam, Beakal Gizachew Assefa, Sanam Nagendram, Bathula Prasanna Kumar, Mallapuram Bala Chennaiah, Mudassir Rafi
| Nature Verified
Abstract Internet of Things–based wireless sensor networks (IoT-WSNs) face persistent challenges related to energy consumption, latency, and network congestion under dynamic and heterogeneous topologies. Conventional reinforcement learning approaches rely on static reward formulations, which limit adaptability and hinder effective multi-objective optimization.
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