Surender Redhu

Orcid: 0000-0002-4120-083X

According to our database1, Surender Redhu authored at least 23 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Network-aware RF-energy harvesting for designing energy efficient IoT networks.
Internet Things, July, 2023

SleepXAI: An explainable deep learning approach for multi-class sleep stage identification.
Appl. Intell., July, 2023

Optimal Device Selection in Federated Learning for Resource-Constrained Edge Networks.
IEEE Internet Things J., 2023

2022
Mobile Energy Transmitter Scheduling in Energy Harvesting IoT Networks using Deep Reinforcement Learning.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Low Latency Federated Learning over Wireless Edge Networks via Efficient Bandwidth Allocation.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

A Deep Learning-Based Channel Aware Single Step Signal Detection in Downlink Multi-User NOMA.
Proceedings of the 96th Vehicular Technology Conference, 2022

Energy-Efficient UAV Trajectory Planning in Rechargeable IoT Networks.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

UAV Altitude Optimization for Efficient Energy Harvesting in IoT Networks.
Proceedings of the 27th National Conference on Communications, 2022

Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders.
Proceedings of the IEEE International Conference on E-health Networking, 2022

Cluster-based 3D-Beam Power Management in Resource-Constrained Wireless Networks.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021
Context-Aware RF-Energy Harvesting for IoT Networks.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Clustering-Assisted 3D Beamforming for Throughput Maximization in mmWave Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

A Cluster based Sensor-Selection Scheme for Energy-Efficient Agriculture Sensor Networks.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2020
Cooperative Network Model for Joint Mobile Sink Scheduling and Dynamic Buffer Management Using Q-Learning.
IEEE Trans. Netw. Serv. Manag., 2020

Optimal relay node selection in time-varying IoT networks using apriori contact pattern information.
Ad Hoc Networks, 2020

2019
Optimal Relay Node Selection for Robust Data Forwarding Over Time-Varying IoT Networks.
IEEE Trans. Veh. Technol., 2019

Network lifetime improvement using landmark-assisted mobile sink scheduling for cyber-physical system applications.
Ad Hoc Networks, 2019

Low complexity landmark-node tracing in WSNs using multi-agent random walks.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

Multi-Sensor Data Fusion for Cluster-based Data Aggregation in IoT Applications.
Proceedings of the 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2019

2018
Energy-efficient wake-up radio protocol using optimal sensor-selection for IoT.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Poster: Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

Joint Mobile Sink Scheduling and Data Aggregation in Asynchronous Wireless Sensor Networks Using Q-Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Energy-efficient landmark tracing in WSNs using random walks on network graphs.
Proceedings of the 9th International Conference on Communication Systems and Networks, 2017


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