Surender Redhu

Internet Things, July, 2023

SleepXAI: An explainable deep learning approach for multi-class sleep stage identification.

[BibT_eX]

[DOI]

Appl. Intell., July, 2023

Optimal Device Selection in Federated Learning for Resource-Constrained Edge Networks.

[BibT_eX]

[DOI]

Deepali Kushwaha

Christopher G. Brinton

IEEE Internet Things J., 2023

2022

Mobile Energy Transmitter Scheduling in Energy Harvesting IoT Networks using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Low Latency Federated Learning over Wireless Edge Networks via Efficient Bandwidth Allocation.

[BibT_eX]

[DOI]

Deepali Kushwaha

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.

[BibT_eX]

[DOI]

Sarang Kumar

Mohamed Elnourani

Proceedings of the 96th Vehicular Technology Conference, 2022

Energy-Efficient UAV Trajectory Planning in Rechargeable IoT Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

UAV Altitude Optimization for Efficient Energy Harvesting in IoT Networks.

[BibT_eX]

[DOI]

Proceedings of the 27th National Conference on Communications, 2022

Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on E-health Networking, 2022

Cluster-based 3D-Beam Power Management in Resource-Constrained Wireless Networks.

[BibT_eX]

[DOI]

Poorva Sironja

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021

Context-Aware RF-Energy Harvesting for IoT Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Clustering-Assisted 3D Beamforming for Throughput Maximization in mmWave Networks.

[BibT_eX]

[DOI]

Shraddha Tripathi

Proceedings of the IEEE International Conference on Communications Workshops, 2021

A Cluster based Sensor-Selection Scheme for Energy-Efficient Agriculture Sensor Networks.

[BibT_eX]

[DOI]

Amrendra P. Singh

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.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2020

Optimal relay node selection in time-varying IoT networks using apriori contact pattern information.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2020

2019

Optimal Relay Node Selection for Robust Data Forwarding Over Time-Varying IoT Networks.

[BibT_eX]

[DOI]

Mayank Anupam

IEEE Trans. Veh. Technol., 2019

Network lifetime improvement using landmark-assisted mobile sink scheduling for cyber-physical system applications.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2019

Low complexity landmark-node tracing in WSNs using multi-agent random walks.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

Multi-Sensor Data Fusion for Cluster-based Data Aggregation in IoT Applications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Rahul Mahavar

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pratyush Garg

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Energy-efficient landmark tracing in WSNs using random walks on network graphs.

[BibT_eX]

[DOI]