Thesis supervisor: László Tóth
Location of studies (in Hungarian): University of Debrecen Faculty of Informatics Abbreviation of location of studies: DE IK
Description of the research topic:
Syllabus
Prediction calculations generally mean the solution of differential equations on the base of the measured initial conditions where the data of close and distant neighboring points are used for the calculations. It requires the maintenance of expensive weather stations and supercomputers. However, if sensor stations are not only capable of measuring but can also communicate with each other, then these smart sensors can also be applied to run forecasting calculations. This applies the highest possible level of parallelization without the collection of measured data into one place. Furthermore, if more nodes are involved, the result becomes more accurate, but the computing power required from one node does not increase. Such a Distributed
Sensor Network (DSN) can be applied in several different areas where sensing and numerical calculations, even the solution of differential equations, are needed.
Bibliography
1. Steven F. Barrett and Daniel J. Pack, Microcontrollers Fundamentals for Engineers and Scientists (Morgan & Claypool, 2006)
2. Jack Ganssle, The Art of Designing Embedded Systems (Newnes, 2008)
3. Ivan Stojmenovic (Ed.) Handbook of Sensor Networks, Algorithms and Architectures (Wiley, 2005)
4. Jacob Fraden, Handbook of Modern Sensors, Physics, Designs, and Applications (Springer, 2010)
5. Á Vas, Á Fazekas, G Nagy, L Tóth, Distributed Sensor Network for meteorological observations and numerical weather Prediction Calculations, Carpathian Journal of Electronic and Computer Engineering 6:(1) pp. 56-62. (2013)