Every Cloud Has a Push Data Lining: Incorporating Cloud Services in a Context-Aware Application

Abstract

We investigated context-awareness by utilising multiple sources of context in a mobile device setting. In our experiment we developed a system consisting of a mobile client, running on the Android platform, integrated with a cloud-based service. These components were integrated using push messaging technology. One of the key features was the automatic adaptation of smartphones in accordance with implicit user needs. The novelty of our approach consists in the use of multiple sources of context input to the system, which included the use of calendar data and web based user configuration tool, as well as that of an external, cloud-based, configuration file storing user interface preferences which, pushed at log-on time irrespective of access device, frees the user from having to manually configure its interface. The system was evaluated via two rounds of user evaluations (n= 50 users), the feedback of which was generally positive and demonstrated the viability of using cloud-based services to provide an enhanced context-aware user experience.

Reducing Spectrum Handoffs and Energy Switching Consumption of MADM-Based Decisions in Cognitive Radio Networks

“…All the obtained information is sent back to the network, where it is processed in the proposed Enhanced MADM-based Spectrum Decision (EMSD) function and sent back to the SBS, which delivers the results to each SU spectrum decision. The system model proposed can be implemented by means of specific purposes equipment at the SBS or implemented in cutting-edge network technologies such as cloud cognitive networks [15][16][17].…”