Dr Anish Jindal anish.jindal@durham.ac.uk
Assistant Professor
Jindal, A., Kumar, N., & Singh, M. (2020). A unified framework for big data acquisition, storage, and analytics for demand response management in smart cities. Future Generation Computer Systems, 108, https://doi.org/10.1016/j.future.2018.02.039
Journal Article Type | Article |
---|---|
Online Publication Date | Mar 8, 2018 |
Publication Date | 2020 |
Deposit Date | Jan 18, 2022 |
Journal | Future Generation Computer Systems |
Print ISSN | 0167-739X |
Publisher | Elsevier |
Volume | 108 |
DOI | https://doi.org/10.1016/j.future.2018.02.039 |
An accurate RSS/AoA-based localization method for internet of underwater things
(2023)
Journal Article
Referenced Blockchain Approach for Road Traffic Monitoring in a Smart City using Internet of Drones
(2022)
Conference Proceeding
TRUTH: Trust and Authentication Scheme in 5G-IIoT
(2022)
Journal Article
Energy-Efficient Virtual Resource Allocation of Slices in Vehicles-Assisted B5G Networks
(2022)
Journal Article
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search