Algorithm to Optimize Code Size and Energy Consumption in Real Time Embedded System

Abstract

Processor is an important computing element in portable battery operated real time embedded system and it consumes most of the battery energy. Energy consumption, processor memory space are considered as basic design constraints in ARM based system and heuristic algorithm is developed for energy consumption as well as memory space management. This Algorithm includes rate monotonic fixed priority task scheduling scheme, DVS, ARM’s Normal /Thumb mode, execution time, and number of execution cycles, which are analytically related with energy consumption. Mathematical modeling and simulation of Heuristic algorithm is done using MATLAB. This gives optimized code size, execution time, energy consumption of each task / whole system and proves a novel strategy in the field of software related energy optimization and real time embedded system design.