Estimation of System Power Consumption on Mobile Computing Devices

The relationship between power consumption and parameters of system state on mobile computing devices is studied in this paper, using genetic algorithm and artificial neural network. Then based on this relationship, a run-time power consumption model is proposed to estimate the energy used on a per process basis. This result can help us to design an intrusion detection system for battery exhaustion attacks or give some advice on how to design a less power consumption program on mobile computing devices.