Context Parameter Prediction to Prolong Mobile Terminal Battery Life

Abstract

Energy is a critical resource for mobile devices, which depend on batteries for power supply. With the high energy requirements of the new wireless generation, there is a definite need for new techniques for power saving. The C2POWER project is an European project having the goal of implementing energy-saving techniques for multi-standard Mobile Terminals (MTs). The main techniques used by the project are inter-technology handovers, which are known as Vertical Handovers (VHOs) and cooperation among MTs. Modern computing systems are harvesting the techniques of context aware computing to work towards different goals. This paper describes a way of using context information to enhance the energy saving capabilities of MTs. This paper proposes a structure for the context parameters, the architecture for context information management, and the context prediction framework. The paper focuses particularly on the MT cooperation scenario, and shows how to implement energy saving in a scenario, where MTs have control over the value of the energy they are willing to spend to relay traffic for other MTs, as well as the price they accept to pay.