| Title |
Secure Data Management in Cloudlet Assisted IoT Enabled e-Health Framework in Smart City |
| ID_Doc |
38241 |
| Authors |
Sengupta, S; Bhunia, SS |
| Title |
Secure Data Management in Cloudlet Assisted IoT Enabled e-Health Framework in Smart City |
| Year |
2020 |
| Published |
Ieee Sensors Journal, 20, 16 |
| DOI |
10.1109/JSEN.2020.2988723 |
| Abstract |
Internet of Things (IoT) is being adopted widely impacting every sphere around us. IoT enabled health-care is making the way ahead as it enables remote monitoring of health status seamlessly. The health-care industry historically has generated a large volume of data. With the induction of IoT, this volume has gone up drastically. Therefore, the health data is required to be stored properly to make sense of the data. In this paper, we propose cloudlet assisted IoT enabled e-Health framework. This e-Health framework aims to ease real-time data access using cloudlets. In this framework, we propose and implement a health-care data management scheme to store the enormous health data and process the queries for retrieval of the health data by end-users. We have used NoSQL based model to store health data. Performance of the proposed model has been studied in terms of data transmission time, energy consumption, query response time and data packet loss. Finally, by comparing the evaluation results of our proposed model with performances of the traditional cloud storage-based e-Health system, we justified that our proposed model is performing far better than existing cloud-based e-Health solutions. |
| Author Keywords |
Cloudlet; Internet-of-Things (IoT); e-Health; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000550685000074 |
| WoS Category |
Engineering, Electrical & Electronic; Instruments & Instrumentation; Physics, Applied |
| Research Area |
Engineering; Instruments & Instrumentation; Physics |
| PDF |
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