An Adaptive Mobile System to Solve Large-Scale Problems in Wireless Networks

In this paper, we propose an adaptive mobile system that uses mobile grid computing to achieve infeasible work in mobile device. Recently, grid computing has gained significance for its ability to achieve certain goals by sharing the idle resources of computing devices, and thus overcoming the various constraints of the mobile computing environment. In the mobile environment, it is very important for mobile devices to recognize correctly their resource state. The proposed system includes a Grid Inference Engine, which decides on the resource state by using fuzzy logic. In this paper, a prototype is implemented to evaluate the proposed system. The effectiveness of the system is confirmed through experiment.