Robust and energy-efficient RPL optimization algorithm with scalable deep reinforcement learning for IIoT

Y Wang, Y Li, J Lei, F Shang - Computer Networks, 2024 - Elsevier
The increasing complexity and quantity of the Industrial Internet of Things (IIoT) pose new
challenges to the traditional routing protocol for low-power and lossy networks (RPL) in …

A Survey on AI-Empowered Softwarized Industrial IoT Networks

E Rojas, D Carrascal, D Lopez-Pajares… - Electronics, 2024 - mdpi.com
The future generation of mobile networks envision Artificial Intelligence (AI) and the Internet
of Things (IoT) as key enabling technologies that will foster the emergence of sophisticated …

Optimizing Cluster Head Election in IoT Networks Using Reinforcement Learning

PG Swathi, MB Nirmala - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
IoT is a hot cake in all sectors from daily wearable's to automated industries. They avoid
disasters, reduce the manpower, and increase the performance in all fields. But the wireless …

A New Wsn Energy Consumption Model for Monitoring, Forecasting and Predicting

S NAJJAR, H Wan, A Zouinkhi, M David… - Forecasting and … - papers.ssrn.com
Optimizing energy consumption in wireless sensor networks often requires a holistic view to
effectively manage the network. The network lifetime depends not only on the reduction of …