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| Content Provider | IET Digital Library |
|---|---|
| Author | Shin, Minchul Joe, Inwhee |
| Abstract | The solar powered energy harvesting sensor node is a key technology for Internet of Things (IoT), but currently it offers only a small amount of energy storage and is capable of harvesting only a trivial amount of energy. Therefore, new technology for managing the energy associated with this sensor node is required. In particular, it is important to manage the transmission interval because the level of energy consumption during data transmission is the highest in the sensor node. If the proper transmission interval is calculated, the sensor node can be used semi-permanently. In this study, the authors propose an energy prediction algorithm that uses the light intensity of fluorescent lamps in an indoor environment. The proposed algorithm can be used to accurately estimate the amount of energy that will be harvested by a solar panel using a weighted average for light intensity. Then, the optimal transmission interval is calculated using the amount of predicted harvested energy and residual energy. The results from the authors’ experimental testbeds show that their algorithm's performance is better than the existing approaches. The energy prediction error of their algorithm is approximately 0.5%. |
| Starting Page | 1508 |
| Ending Page | 1521 |
| Page Count | 14 |
| ISSN | 17518628 |
| Volume Number | 10 |
| e-ISSN | 17518636 |
| Issue Number | Issue 12, Aug (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/10/12 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0223 |
| Journal | IET Communications |
| Publisher Date | 2016-08-11 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Computer Communication Computer Network And Technique Energy Consumption Level Energy Harvesting Energy Management Algorithm Energy Prediction Algorithm Energy Prediction Error Energy Storage Fluorescent Lamp Light Intensity Internet of Things IoT Optimal Transmission Interval Photoelectric Conversion Residual Energy Solar Cell And Array Solar Cell Array Solar Panel Solar-powered Energy Harvesting Wireless Sensor Node Telecommunication Power Management Transmission Interval Management Wireless Sensor Network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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