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Author

Rajasekhar Dasari

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Sep 2026

Edge-Assisted Multi-Agent Deep Reinforcement Learning for Emergency and Emission-Aware Traffic Signal Control

Urban traffic signal control must reduce congestion, prioritize emergency vehicles, and limit environmental impact under dynamic traffic conditions. Fixed-time control cannot adapt effectively to such variations. Existing learning-based methods have shown promising results, but most of them do not jointly address emerg...

Rajasekhar Dasari, D. C. A. Reddy, S. Nayak · 0 citations
Sep 2026

Mobility and Reliability-Aware Task Offloading in Dynamic MEC-IoT Networks using Primal-Dual RL

Dynamic task offloading in Multi-access Edge Computing (MEC)-enabled IoT networks is challenging due to timevarying wireless channels, mobility, limited device energy, and unreliable MEC service conditions. Existing works mainly optimize delay and energy, but many of them do not jointly consider mobility-driven connect...

Rajasekhar Dasari, S. Nayak · 0 citations
Conference Jul 2026

Mobility-Aware Offloading with SINR Prediction and Selective Replication in Fog-IoT Networks

The rise of mobile Internet of Things (IoT) applications has made reliable, low-latency task offloading to nearby fog nodes essential. However, user mobility, time-varying wireless links, short-packet transmission errors, and fog-queue congestion make the execution of delay-sensitive tasks challenging. Existing schemes...

Rajasekhar Dasari, Satyajit Mohapatra, S. Nayak · 0 citations

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