6. Conclusions, future prospects
6.2 Future prospects
There might be still some rare drift-wise faults that cannot be detected confidentially by using the proposed techniques. Then, investigation of following techniques can be of interest for the next steps of implementation:
¾ Decision making sharing fault detection results due to multiple SISO models.
¾ Using MISO models in each cluster and investigate the yielded residuals.
¾ Decision making based on the residuals due to both Temperature and Relative Humidity at the same time.
¾ Using augmented version of fault detector, consisting of proposed limit-trend, On-line and Off-line model-based techniques.
From energy saving point of view, combining the quoted recipe with the existing battery management techniques to achieve a better performance of energy saving can be very interesting. Furthermore, implementing simultaneous fault detection and energy saving can also be a venue for the future works.
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Appendix: List of publications
1 Babazadeh M., Kreowski H.-J., Lang W., “Selective Predictors of Environmental variables in Wireless Sensor Networks”. International Journal of Mathematical Models and Methods in Applied Sciences. 2008, Issue 3, Volume 2, pp. 355-363.
2 Babazadeh M., Jedermann R., Lang W., “A Heuristic Method in Monitoring Environmental variables using a Floating Input Approach in Wireless Sensor Networks”. International Journal of Mathematical Models and Methods in Applied Sciences. 2008, Issue 2, volume 2, pp. 303-311.
3 Babazadeh M., Lal I., Ding S. X., Lang W., “Energy aware fault detection in a Wireless Sensor Network”. American control conference 2010. Baltimore, Maryland, USA, June 30 - July 2, 2010, Accepted.
4 Babazadeh M., Lal I., Lang W., "Energy Saving in a Wireless Sensor Networks by using Floating Input Approach”. 9th IEEE International Symposium on Signal Processing and Information Technology. Dec 14, 2009 - Dec 17, 2009 Ajman, United Arab Emirates.