Prasad, 2025
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Alsamhi et al. | Machine learning for smart environments in B5G networks: Connectivity and QoS | |
| Prasad | Efficient Power Management in IoT Communication Protocols | |
| Zhang et al. | A hybrid many-objective optimization algorithm for task offloading and resource allocation in multi-server mobile edge computing networks | |
| Liu et al. | Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework | |
| Surendran et al. | Energy aware grid resource allocation by using a novel negotiation model | |
| Umeonwuka et al. | An XGBoost machine learning technique for RF energy harvesting prediction in IP-enabled IoT devices | |
| Sivasankar et al. | Optimizing Power Consumption in Wireless Sensor Networks for Prolonged Sustainability | |
| Charde et al. | An empirical review of machine learning models for energy optimizations in IoT networks | |
| Safitra et al. | Intelligent Computing in Communication Networks: Challenges, Solutions, and Research Prospects | |
| Jain et al. | ST-DAM: exploiting spatial and temporal correlation for energy-efficient data aggregation method in heterogeneous WSN | |
| Hemalatha et al. | AS2ICRL: Energy Management Model using Inverse Constrained Reinforcement Learning Based Adaptive Sleep Scheduling in Wireless Sensor Networks | |
| Adu-Manu et al. | Advancements in Machine Learning‐Enhanced Green Wireless Sensor Networks: A Comprehensive Survey on Energy Efficiency, Network Performance, and Future Directions | |
| Zhang et al. | An energy saving strategy of WSNs based on data sensing and similarity | |
| Zhao et al. | Retracted Article: An Intelligent model to reduce the energy consumption of sensor network nodes | |
| Umare et al. | Energy-Efficient Communication Protocols for Wireless IoT Networks. | |
| MAY et al. | Exploring Sustainable Computing: IoT, Big Data, and Energy-Efficient Solutions | |
| Sandhu et al. | RCDR: Reliability control framework for data rate prediction in wireless sensor networks | |
| Fourati et al. | Study of nature inspired power-aware wake-up scheduling mechanisms in wsn | |
| Manjula et al. | Ubiquitous Sensing the Convergence of WSNs and IoT in Contemporary Scenarios | |
| Udayakumar et al. | Reinforcement of QoE based Feedback System to Allocate Resources in IIoT | |
| Ordouei et al. | New Design and Clustering of Sensors to Optimize Energy in the Internet of Things Network | |
| Hussein et al. | Sensor activity scheduling protocol for lifetime prolongation in wireless sensor networks | |
| Prasad | AI-Assisted Signal Processing Technologies for 5G Infrastructure | |
| Raja et al. | Fault Aware Data Prediction in Wireless Sensor Networks Using Machine Learning | |
| Al-Nader et al. | A Novel Adaptive AI-Based Framework for Node Scheduling Algorithm Selection in Safety-Critical Wireless Sensor Networks |