Algorithm-level Energy Consumption Modeling and Analysis of Embedded Software
Jin Zhang · Jisuanji gongcheng · 2014
An algorithm-level energy consumption estimation model is proposed in this paper to solve the problem of algorithm-level energy consumption optimization design of embedded software.This paper takes Traveling Salesman Problem(TSP) as an example and uses different algorithms such as neural network algorithm and Genetic Algorithm(GA) for solving energy consumption estimation problem.By analyzing execution times,algorithm complexity and run time,energy consumption estimation value of different algorithms calculated by this model can be used to compare with energy consumption test value gained by simulation platform.Experimental result by simulation platform sim-panalyzer is presented that error analysis between estimation value and test value is about 10%.The accuracy of energy consumption estimation model is proved.