Workload prediction of wireless sensor network based on linear prediction
Wireless Sensor Network has been widely used in remote monitoring application. However, energy efficiency of sensor nodes is an important issue, as they are powered by batteries. And most of the cases, sensor nodes are inaccessible once they have been deployed. So a good energy saving scheme of sens...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE xplorer
2012
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/24690 |
| _version_ | 1848751500030902272 |
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| author | Hong, Lue Ik Wong, Kiing-Ing Barsoum, Nader Nassif |
| author2 | Steve Tung |
| author_facet | Steve Tung Hong, Lue Ik Wong, Kiing-Ing Barsoum, Nader Nassif |
| author_sort | Hong, Lue Ik |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Wireless Sensor Network has been widely used in remote monitoring application. However, energy efficiency of sensor nodes is an important issue, as they are powered by batteries. And most of the cases, sensor nodes are inaccessible once they have been deployed. So a good energy saving scheme of sensor nodes will provide long operational life (2-3 years). In this paper, Dynamic Voltage Scaling (DVS) is proposed to reduce the CPU energy by adjusting the voltage level based on its workload prediction. The workload prediction is based on Linear Prediction model. |
| first_indexed | 2025-11-14T07:53:42Z |
| format | Conference Paper |
| id | curtin-20.500.11937-24690 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:53:42Z |
| publishDate | 2012 |
| publisher | IEEE xplorer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-246902017-09-13T15:10:45Z Workload prediction of wireless sensor network based on linear prediction Hong, Lue Ik Wong, Kiing-Ing Barsoum, Nader Nassif Steve Tung Voltage Scaling Wireless Sensor Network Workload Prediction Linear Prediction Wireless Sensor Network has been widely used in remote monitoring application. However, energy efficiency of sensor nodes is an important issue, as they are powered by batteries. And most of the cases, sensor nodes are inaccessible once they have been deployed. So a good energy saving scheme of sensor nodes will provide long operational life (2-3 years). In this paper, Dynamic Voltage Scaling (DVS) is proposed to reduce the CPU energy by adjusting the voltage level based on its workload prediction. The workload prediction is based on Linear Prediction model. 2012 Conference Paper http://hdl.handle.net/20.500.11937/24690 10.1109/CYBER.2012.6392546 IEEE xplorer restricted |
| spellingShingle | Voltage Scaling Wireless Sensor Network Workload Prediction Linear Prediction Hong, Lue Ik Wong, Kiing-Ing Barsoum, Nader Nassif Workload prediction of wireless sensor network based on linear prediction |
| title | Workload prediction of wireless sensor network based on linear prediction |
| title_full | Workload prediction of wireless sensor network based on linear prediction |
| title_fullStr | Workload prediction of wireless sensor network based on linear prediction |
| title_full_unstemmed | Workload prediction of wireless sensor network based on linear prediction |
| title_short | Workload prediction of wireless sensor network based on linear prediction |
| title_sort | workload prediction of wireless sensor network based on linear prediction |
| topic | Voltage Scaling Wireless Sensor Network Workload Prediction Linear Prediction |
| url | http://hdl.handle.net/20.500.11937/24690 |