Praveen Kumar Donta

Orcid: 0000-0002-8233-6071

According to our database1, Praveen Kumar Donta authored at least 39 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions.
Computer, March, 2024

Securing Clustered Edge Intelligence With Blockchain.
IEEE Consumer Electron. Mag., January, 2024

2023
Governance and sustainability of distributed continuum systems: a big data approach.
J. Big Data, December, 2023

Exploring the Potential of Distributed Computing Continuum Systems.
Comput., September, 2023

Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey.
Comput., July, 2023

Editorial: Efficient deep neural network for intelligent robot system: Focusing on visual signal processing.
Frontiers Neurorobotics, June, 2023

Target-aware distributed coverage and connectivity algorithm for wireless sensor networks.
Wirel. Networks, May, 2023

On Distributed Computing Continuum Systems.
IEEE Trans. Knowl. Data Eng., April, 2023

iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learning.
J. Ambient Intell. Humaniz. Comput., March, 2023

Cooperative Transmission Scheduling and Computation Offloading With Collaboration of Fog and Cloud for Industrial IoT Applications.
IEEE Internet Things J., March, 2023

Joint Data Transmission and Energy Harvesting for MISO Downlink Transmission Coordination in Wireless IoT Networks.
Sensors, 2023

Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNs.
J. Ambient Intell. Humaniz. Comput., 2023

Edge Intelligence - Research Opportunities for Distributed Computing Continuum Systems.
IEEE Internet Comput., 2023

Fundamental Research Challenges for Distributed Computing Continuum Systems.
Inf., 2023

Learning-driven ubiquitous mobile edge computing: Network management challenges for future generation Internet of Things.
Int. J. Netw. Manag., 2023

CommunityAI: Towards Community-based Federated Learning.
CoRR, 2023

Equilibrium in the Computing Continuum through Active Inference.
CoRR, 2023

Blockchain-based Zero Trust on the Edge.
CoRR, 2023

Active Inference on the Edge: A Design Study.
CoRR, 2023

Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams.
CoRR, 2023

Federated Domain Generalization: A Survey.
CoRR, 2023

Designing Reconfigurable Intelligent Systems with Markov Blankets.
Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

Towards Intelligent Data Protocols for the Edge.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Learning-Driven Zero Trust in Distributed Computing Continuum Systems.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Community AI: Towards Community-based Federated Learning.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022
Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approach.
Sustain. Comput. Informatics Syst., 2022

Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory.
Sensors, 2022

Survey on recent advances in IoT application layer protocols and machine learning scope for research directions.
Digit. Commun. Networks, 2022

The Promising Role of Representation Learning for Distributed Computing Continuum Systems.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2022

Distributed Computing Continuum Systems - Opportunities and Research Challenges.
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of Things.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

2021
Dynamic mobile charger scheduling with partial charging strategy for WSNs using deep-Q-networks.
Neural Comput. Appl., 2021

An extended ACO-based mobile sink path determination in wireless sensor networks.
J. Ambient Intell. Humaniz. Comput., 2021

EDGF: Empirical dataset generation framework for wireless network networks.
CoRR, 2021

EDGF: Empirical dataset generation framework for wireless sensor networks.
Comput. Commun., 2021

Mobile Charger Utility Maximization through Preemptive Scheduling for Rechargeable WSNs.
Proceedings of the 19th OITS International Conference on Information Technology, 2021

2019
Machine learning algorithms for wireless sensor networks: A survey.
Inf. Fusion, 2019

2018
ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints.
Appl. Soft Comput., 2018


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