Processing Power Estimation of Simple Wireless Sensor Network Nodes by Power Macro-modeling

The operation of wireless sensor networks is fundamentally constrained by available energy sources. In this paper, we propose a numerical power estimation technique for register transfer level. This technique allows estimating the power dissipation of components in WSN to their statistical knowledge of primary inputs/outputs. During power estimation procedure, the sequence of an input stream is generated using input metrics and numerical macro-model function is used to construct a set of functions that maps the input metrics of a module to its output metrics. Then, simulation is performed and power dissipation is predicted by a macro-model function. The results are effective and highly correlated, with average error of 3.5%.