earticle

영어

The spreading use of wireless internet and smartphone accelerates the growth of location-based service and mobile-cloud computing. However, mobile computing devices such as smartphones, personal media players, pose challenges due to its intrinsic nature of battery capacity, constraints of wireless networks and device limitation. First, a fundamental challenge arises from power-inefficiency of location awareness. The location-based application is one of killer applications in smartphone. Usually, the locations-based applications steadily consume power for a long time. So, we propose energy efficient location-based servic. Second, another challenge arises from power-inefficiency in terms of mobile-cloud computing. Our framework reduces power dissipation by substituting less-power-intensive sensors, when the smartphone is in static state such as being put on a table in an office. The substitution is controlled by finite state machine with user movement detection strategy. The core technology of our framework is based on web service and SOAP protocol because the web service is the best fit for the framework that is not depending on a certain smart-phone OS platform. To this end, we propose the framework architecture and evaluate the system using the application of PI value computation. The result shows that our mobile cloud computing platform performs better as increasing number of cloud nodes and that our resource management strategy improves the power consumption.