Jamie Walters

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Mobile telecommunication is evolving rapidly. People no longer only communicate with each other regardless of time and place, but also share other information that is important for tasks with which they are involved. In response to this growing trend the MediaSense framework addresses the intelligent delivery of any information to any host, anywhere, based(More)
Intelligent and context-aware mobile services require users and applications to share information and utilize services from remote locations. Thus, context information from the users must be structured and be accessible to applications running in end-devices. In response to this challenge, we present a shared object-oriented meta model for a persistent(More)
Context-aware applications and services require ubiquitous access to context information of users. The limited scalability of centralized servers used in the provisioning of context information mandates the search for scalable peer-to-peer protocols. Furthermore, unnecessary signaling must be avoided in large-scale context networks, when location-based(More)
This paper describes research issues and work-in-progress concerning ubiquitous sensing. We present scenarios where the current approaches are deficient in addressing the needs for ubiquitous sensing in services and applications on the Future Internet, involving the massive sharing of information from sensors via heterogeneous networks. We propose an(More)
Massive Immersive Participation is enriched through the use of context information describing the dynamic states and relations among people places and things. This in turn mandates the creation of methods and models for establishing and supporting these relationships. Previous approaches are undermined by their limited interpretation of context centric(More)
Real-time context aware applications require dynamic support reflecting the continual changes in context. Architectures that distribute and utilize the supporting sensor information within the constraints of publish-subscribe systems provide sensor information in primitive forms requiring extensive application-level transformations limiting the dynamic(More)
The increasing ubiquity of context aware services and systems has been primarily underpinned by the use of centralised servers employing protocols that do no scale well for real time distribution and acquisition of neither sensor data nor dependent services. Any shift from this generic sensor framework mandated a new thinking where sensor data was capable(More)