Ambient Assisted Living (AAL) systems based on sensor technologies are seen as key enablers to an ageing society. However, most approaches in this space do not provide a truly generic ambient space -one that is not only capable of assisting people with diverse medical conditions, but can also recognise the habits of healthy habitants, as well as those with developing medical conditions. The recognition of Activities of Daily Living (ADL) is key to the understanding and provisioning of appropriate and efficient care. However, ADL recognition is particularly difficult to achieve in multi-resident spaces; especially with single-mode (albeit carefully crafted) solutions, which only have limited capabilities. To address these limitations we propose a multi-modal system architecture for AAL remote healthcare monitoring in the home, gathering information from multiple, diverse (sensor) data sources. In this paper we report on developments made to-date in various technical areas with respect to critical issues such as cost, power consumption, scalability, interoperability and privacy.Index Terms-Ambient Intelligence, Ambient Assisted Living, eHealth, Internet of Things IEEE ICC 2015 -Workshop on ICT-enabled services and technologies for eHealth and Ambient Assisted Living 978-1-4673-6305-1/15/$31.00 ©2015 IEEE

Abstract-The information and communication technology (ICT)infrastructure that will empower the Smart Grid with real-time management of power flows, bidirectional metering, and more effective integration of renewable energy sources is both large and complex, involving many different sensing, measurement, and control devices. The analysis of such large-scale distributed systems together with the possible communications network technologies can be extremely difficult, not least because many modeling techniques tend to analyze individual components, rather than the relationships and interactions between components, and their impact on the system. In this paper, we describe the CLEVER simulator-a discrete-event simulator developed specifically for evaluating the performance of the ICT infrastructure of smart energy solutions at very large scales. This paper also presents results from simulation experiments comparing the impact of various access technologies on the performance of a smart metering infrastructure. Finally, an outline of ongoing work is provided, and directions for future work are identified.

The growth in machine-to-machine communications and the closer integration of critical infrastructures and systems is creating larger and ever more complex system of systems. The resulting data explosion and inter-dependencies could have far-reaching implications for the system as a whole. There is a critical need to understand the effects of complex distributed systems interactions, their demands on the communications infrastructure, and the impact of different design decisions and implementation strategies. Although many network simulation tools already exist, the simulation of large and complex distributed systems remains a significant challenge. Traditional network simulators tend to focus protocol performance, rather than system-level interactions. This paper describes CLEVERsim-a declarative, event-driven, simulation tool developed specifically to address the challenges of simulating very large M2M communications scenarios, represented by 1) potentially large computational time and memory requirements, and 2) the need to maximise value within constraints.

Abstract. Traditionally, device relationships in a production studio are established and managed by physically routing the different cables that carry the relevant streams, together with any required synchronization references. IPbased networks offer a common infrastructure for the distribution of broadcast content as well as the deployment of integrated production and management solutions. This paper describes the design and implementation of components based on the OMG Audio/Video Streams Specification to facilitate the rapid integration of devices during the initial set-up phase, and the control and management of media content flow during normal operations for the purpose of program production within an IP broadcast environment.