A SOFT COMPUTING APPROACH TO DESIGNING ENERGY EFFICIENT APPLICATIONS IN SMARTPHONE DEVICES

Abstract

This chapter gives introduction to various Soft Computing techniques and presents the motivation, scope and problem statement of the project. The chapter ends with a brief description of how this thesis is organized. 1.1 General Concepts With increasing demand for smart phones as mobile handheld computing devices there is an imperative need for increasing the battery life, which is a very crucial resource for running the applications on the device. A conventional way of handling the situation typically has been to kill the applications based on usage, Context and switch to a core set of functionality that are minimally required to run the devices. As there is no limit on the number of applications running in a smart phone, finding the best combination of the applications become a NP kind of problem. This problem can be attempted using Soft Computing techniques. Generally for NP-Complete set of problems, it is not possible to compute the exact solution in polynomial time. As a result Soft Computing techniques could find optimal solutions to these problems in a polynomial time. The major difference between Soft Computing and the conventional computing is that, unlike conventional computing, Soft Computing can tolerate the solutions with approximations, imprecision, uncertainty, and partial truth. Soft Computing Techniques try to model the human brain.