Reducing the energy consumed by mobile wireless devices to extend the lifetime of the batteries that power them is one of the major challenges in designing such systems. While this problem can be addressed at various levels (e.g. device, operating system, middleware, application), we think that it is possible to get a higher energy saving when considering the needs of the applications (application-aware). Our approach is centred on analyzing the behaviour of the applications more than the resources. In this paper, we present an application-aware framework which utilizes the needs of the applications and Dynamic Power Management (DPM) techniques focused on the wireless network card to control and reduce power consumption at runtime. We include a novel technique that increases the energy savings. We have also developed a simple prototype to test the viability of our idea. The experimental results show that the proposed approach achieves between 10% -40% average reduction in the energy consumed by the wireless network interface.

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Several mobile acceptance models exist today that focus on user interface handling and usage frequency evaluation. Since mobile applications reach much deeper into everyday life, it is however important to better consider user behaviour for the service evaluation. In this paper we introduce the Behaviour Assessment Model (BAM), which is designed to gaining insights about how well services enable, enhance and replace human activities. More specifically, the basic columns of the evaluation framework concentrate on (1) service actuation in relation to the current user context, (2) the balance between service usage effort and benefit, and (3) the degree to which community knowledge can be exploited. The evaluation is guided by a process model that specifies individual steps of data capturing, aggregation, and final assessment. The BAM helps to gain stronger insights regarding characteristic usage hotspots, frequent usage patterns, and leveraging of networking effects showing more realistically the strengths and weaknesses of mobile service