Machine learning algorithms for wireless sensor networks: A survey DP Kumar, T Amgoth, CSR Annavarapu Information Fusion 49, 1-25, 2019 | 453 | 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 | 109 | 2018 |
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 | 54 | 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 | 54 | 2020 |
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, 8991-9006, 2021 | 39 | 2021 |
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 | 31 | 2022 |
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 | 21 | 2021 |
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 | 21 | 2020 |
5G applications and architectures DK Sah, DP Kumar, C Shivalingagowda, PVY Jayasree 5G Enabled Secure Wireless Networks, 45-68, 2019 | 18 | 2019 |
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 | 16 | 2022 |
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, 2022 | 12 | 2022 |
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, 1-12, 2021 | 11 | 2021 |
On distributed computing continuum systems S Dustdar, VC Pujol, PK Donta IEEE Transactions on Knowledge and Data Engineering, 2022 | 9 | 2022 |
Securing clustered edge intelligence with blockchain C Dehury, SN Srirama, PK Donta, S Dustdar IEEE Consumer Electronics Magazine, 2022 | 8 | 2022 |
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 | 8 | 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 | 7 | 2022 |
Finding the minimum number of mobile sinks for data collection in wireless sensor networks M Srinivas, PK Donta, T Amgoth 2020 IEEE international conference on communication, networks and satellite …, 2020 | 6 | 2020 |
Optimization problems in wireless sensors networks DK Sah, C Shivalingagowda, DP Kumar Soft computing in wireless sensor networks, 29-50, 2018 | 6 | 2018 |
Efficient algorithms for point and area sweep–coverage in wireless sensor networks M Srinivas, PK Donta, T Amgoth 2021 Sixth International Conference on Wireless Communications, Signal …, 2021 | 4 | 2021 |
Secured Wireless Energy Transfer for the Internet of Everything in Ambient Intelligent Environments DK Sah, M Poongodi, PK Donta, M Hamdi, K Cengiz, MM Kamruzzaman, ... IEEE Internet of Things Magazine 5 (1), 62-66, 2022 | 2 | 2022 |