Praveen Kumar Donta
Praveen Kumar Donta
Department of Computer and Systems Sciences, Stockholm University, Sweden.
Verified email at - Homepage
Cited by
Cited by
Machine learning algorithms for wireless sensor networks: A survey
DP Kumar, T Amgoth, CSR Annavarapu
Information Fusion 49, 1-25, 2019
ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints
DP Kumar, T Amgoth, CSR Annavarapu
Applied Soft Computing 69, 528-540, 2018
Survey on recent advances in IoT application layer protocols and machine learning scope for research directions
PK Donta, SN Srirama, T Amgoth, CSR Annavarapu
Digital Communications and Networks 8 (5), 727-744, 2022
EDGF: Empirical dataset generation framework for wireless sensor networks
DK Sah, K Cengiz, PK Donta, VN Inukollu, T Amgoth
Computer Communications 180, 48-56, 2021
Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs
PK Donta, BSP Rao, T Amgoth, CSR Annavarapu, S Swain
IEEE Sensors Journal 20 (4), 2224-2233, 2020
On distributed computing continuum systems
S Dustdar, VC Pujol, PK Donta
IEEE Transactions on Knowledge and Data Engineering 35 (4), 4092 - 4105, 2023
An extended ACO-based mobile sink path determination in wireless sensor networks
PK Donta, T Amgoth, CSR Annavarapu
Journal of Ambient Intelligence and Humanized Computing 12 (10), 8991-9006, 2021
Cooperative transmission scheduling and computation offloading with collaboration of fog and cloud for industrial iot applications
A Hazra, PK Donta, T Amgoth, S Dustdar
IEEE Internet of Things Journal 10 (5), 3944 - 3953, 2023
Dynamic mobile charger scheduling with partial charging strategy for WSNs using deep-Q-networks
SPR Banoth, PK Donta, T Amgoth
Neural Computing and Applications 33 (22), 15267-15279, 2021
Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approach
PK Donta, T Amgoth, CSR Annavarapu
Sustainable Computing: Informatics and Systems 33, 100642, 2022
Congestion-aware data acquisition with q-learning for wireless sensor networks
PK Donta, T Amgoth, CSR Annavarapu
2020 IEEE international IOT, electronics and mechatronics conference …, 2020
Edge intelligence—research opportunities for distributed computing continuum systems
VC Pujol, PK Donta, A Morichetta, I Murturi, S Dustdar
IEEE Internet Computing 27 (4), 53-74, 2023
Federated domain generalization: A survey
Y Li, X Wang, R Zeng, PK Donta, I Murturi, M Huang, S Dustdar
arXiv preprint arXiv:2306.01334, 2023
Land subsidence prediction using recurrent neural networks
S Kumar, D Kumar, PK Donta, T Amgoth
Stochastic Environmental Research and Risk Assessment 36 (2), 373-388, 2022
Governance and sustainability of distributed continuum systems: A big data approach
PK Donta, B Sedlak, V Casamayor Pujol, S Dustdar
Journal of Big Data 10 (1), 53, 2023
iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learning
PK Donta, SN Srirama, T Amgoth, CSR Annavarapu
Journal of Ambient Intelligence and Humanized Computing 14 (3), 2951-2966, 2023
Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNs
BG Gutam, PK Donta, CSR Annavarapu, YC Hu
Journal of Ambient Intelligence and Humanized Computing 14 (6), 7147–7158, 2021
Blockchain for internet of underwater things: State-of-the-art, applications, challenges, and future directions
S Bhattacharya, N Victor, R Chengoden, M Ramalingam, GC Selvi, ...
Sustainability 14 (23), 15659, 2022
Securing clustered edge intelligence with blockchain
C Dehury, SN Srirama, PK Donta, S Dustdar
IEEE Consumer Electronics Magazine 13 (1), 22-29, 2022
Joint beamforming, power allocation, and splitting control for SWIPT-enabled IoT networks with deep reinforcement learning and game theory
JS Liu, CHR Lin, YC Hu, PK Donta
Sensors 22 (6), 2328, 2022
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