Towards Deploying Advanced Context Provisioning for Surf Life Saving Use Case.

This paper presents Context Cost and Quality computational engine (ConCQeng), a system to enhance situational awareness in context-aware pervasive computing applications (CaPCAs) through effective context provisioning. ConCQeng selects the sources that deliver a quality-adequate and cost-efficient context in the data flows from stakeholders, assets and an array of sensors, using novel quality and cost-aware selection approaches. It further measures retrieved contexts' quality metrics for compliance and assigns a reasonable cost. We demonstrate the application of conCQeng to conduct effective search and rescue operations in surf life saving using a web application. Our demonstration proves that conCQeng exhibits a compelling performance in environments with distributed and diverse context sources.