Design and implementation of a neurocomputing ASIP for environmental monitoring in WSN

In this paper the implementation of an application specific instruction set processor (ASIP) designed for online monitoring of perishable cargo freight is presented. It benefits flexible signal processing, considering actual environmental influences. As the use of artificial neural networks (ANN) has turned out to achieve convenient and efficient results, it is adapted to this application. Complex algebraic functions are realized by nonuniform linear piecewise function approximation as this increases computation effort and as a consequence energy-efficiency. Runtime evaluation is performed by comparison to actual references as well as the results of the physical synthesis are presented.