TL;DR
This is the first application of DCOP to MPTCP scheduling, enabling fully distributed optimization of energy use and throughput without centralized coordination or offline training.
Efficient data dissemination in large-scale internet of things (IoT) networks remain challenging due to energy constraints, congestion, and delay under dynamic network traffic. This paper introduces a joint routing and medium access control (MAC)-layer scheduling framework (JRSM), incorporating priority-aware clusterin...
Next-generation networks aiming to support ultra-reliable, low-latency, and high-throughput services often operate in the THz band where high absorption losses necessitate dense gNodeB (gNB) deployment. While this enhances coverage and Quality-of-Service (QoS), it also increases the network energy consumption. A common...
The increasing deployment of internet of things (IoT) low-power networks (LPNs) introduce a fundamental challenge in achieving low-latency communication while maintaining strict energy constraints under dynamic and heterogeneous traffic conditions. Existing medium access control (MAC) protocols either rely on rigid tim...
This research is among the first to employ MARL to this extent, and it offers an end-to-end solution that combines cellular, Wi-Fi, and device-to-device (D2D) communications and considers practical network environments like user mobility and channel conditions.
The growing demand for multimedia services in Internet of Things (IoT) networks has significantly increased the traffic load on backhaul links, making Mobile Edge Caching (MEC) a key technology for reducing content delivery latency. Unmanned Aerial Vehicles (UAVs) can serve as mobile aerial caching nodes that complemen...
These findings demonstrate that DI-MNA provides an effective balance between solution quality, scalability, and computational efficiency for resource allocation in large-scale IoT networks.
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