Machine learning algorithms for wireless sensor networks: A survey DP Kumar, T Amgoth, CSR Annavarapu Information Fusion 49, 1-25, 2019 | 666 | 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 | 139 | 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 | 102 | 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 | 89 | 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 | 84 | 2020 |
On distributed computing continuum systems S Dustdar, VC Pujol, PK Donta IEEE Transactions on Knowledge and Data Engineering 35 (4), 4092 - 4105, 2023 | 69 | 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 | 65 | 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 | 54 | 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 | 40 | 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 | 35 | 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 | 32 | 2020 |
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 | 30 | 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 | 28 | 2023 |
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 | 27 | 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 | 27 | 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 | 26 | 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 | 26 | 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 | 24 | 2022 |
Securing clustered edge intelligence with blockchain C Dehury, SN Srirama, PK Donta, S Dustdar IEEE Consumer Electronics Magazine 13 (1), 22-29, 2022 | 24 | 2022 |
5G applications and architectures DK Sah, DP Kumar, C Shivalingagowda, PVY Jayasree 5G Enabled Secure Wireless Networks, 45-68, 2019 | 21 | 2019 |