earticle

영어

Mobile computing devices such as smartphones and personal media players are challenging because of their intrinsic features, such as their battery capacity, the constraints of wireless networks, and device limitations. First, a fundamental challenge is related to the power inefficiency of location-aware functions. Location-based applications are killer applications on smartphones, but they consume large amounts of power when operated for a long period. Thus, an energy-efficient locationbased service is proposed. Second, another challenge is related to the power inefficiency with respect to mobile cloud computing. Thus, the proposed framework reduces power dissipation by substituting less power-intensive sensors when the smartphone is in a static state, such as on a table in an office. This substitution is controlled by a finite state machine with a user movement detection strategy. The core technique employed by the proposed framework is based on a web service and SOAP because a web service is the best fit for a framework that does not depend on a specific smartphone OS platform. Thus, the proposed framework architecture was evaluated using an application for PI value computation. The results demonstrated that the mobile cloud computing platform delivered better performance by increasing the number of cloud nodes and the resource management strategy improved the power consumption.