Energy-Saving Forecasting Techniques for Measurement Data Transmitting WSNs |
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| Florian Strakosch, Faouzi Derbel |
- Abstract:
- One of the most important reasons for the usage of relatively inexpensive energy-self-sufficient wireless sensor networks is their high reliability. Research in this particular field has been intensified recently. However, most of the proposed approaches have one problem in common: lifetime reduction due to an increased demand on data transmission or packet length. In this paper we propose a new technique for almost reversing the effects of this conflict by system identification and forecasting. Our work focuses on designing a close-to-perfect model for each sensor type and to use this for measurement data prediction. Then a data transmission is required only when the difference between the measured and predicted value exceeds a certain threshold. If, for example, every second prediction is true in this context, the lifetime of a wireless sensor node can be extended by more than 45 % while still constantly presenting accurate values to the user.
- Keywords:
- wireless sensor networks, system identification, forecasting, prediction, ARX, Kalman, energy-saving, lifetime extension
- Download:
- IMEKO-TC19-2014-028.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC19
- Event name:
- Methods and Advances in Measurement
- Title:
5th Symposium on Environmental Instrumentation and Measurements
- Place:
- Chemnitz, GERMANY
- Time:
- 23 September 2014 - 24 September 2014