A framework for incremental construction of real global smart space applications

Abstract

-This article describes a standardised way to build context-aware global smart space applications using information that is distributed across independent (legacy, sensor-enabled, and embedded) systems by exploiting the overlapping spatial and temporal attributes of the information maintained by these systems. The framework supports a spatial programming model based on a topographical approach to modelling space that enables systems to independently define and use potentially overlapping spatial context in a consistent manner and in contrast to topological approaches, in which geographical relationships between objects are described explicitly. This approach is supported by an extensible data model that implicitly captures the relationships between information provided by separate underlying systems and facilitates the incremental construction of global smart spaces since the underlying systems to be incorporated are largely decoupled. The framework has been evaluated using a prototype that integrates legacy systems and context-aware services for multi-modal urban journey planning and for visualising traffic congestion.

Challenges in developing a generic monitoring framework for pan European energy usage and environmental monitoring

“…There is a variety of software available to access the devices since the interface to the computer is via USB. Since the devices were connected to a computer running Linux, software was chosen that allows the one wire sensors to appear as part of the file system 6 and consequently the software needed to get data from these sensors simply requires to access a file. Since this now was effectively a text manipulation problem, the software was written in PERL to extract the data from the relevant files and send the data to the GMF.…”

“…A range of sensing devices is readily available in both domestic and commercial markets to monitor all aspects of the environment such as temperature, air quality, lighting levels, and energy consumption, and to detect events such as movement. Sensor networks are inherently distributed [6] and heterogeneous [7] as sensor technologies have evolved independently, providing limited opportunity for integration. A city incorporates a range of domestic and non-domestic buildings, therefore in order for a city to be truly smart, data from a range of sources needs to be consolidated, integrated and organized to provide actionable information.…”

Representing and Reasoning with the Internet of Things: a Modular Rule-Based Model for Ensembles of Context-Aware Smart Things

“…We aim towards a high level specification language. In [39] is described a framework where integration of heterogeneous legacy systems and reusing components are helpful for incrementally constructing global smart spaces.…”

Exploration of Technologies for Autonomic Dependable Service Platforms

“…Recently published articles, e.g. (Bettini et al, 2010) (Meier et al, 2009) (Kapitsaki et al, 2009) indicate that knowledge on specification, modeling and usage of context information might be mature enough for realizing context-aware smart space applications. Typically, context information has three dimensions; physical, computational and user context (Bettini et al, 2010).…”

“…However, the main problem might be that reasoning with OWL poses serious performance issues. Programming based on the spatial context models (Meier et al, 2009) uses a small set of predefined types for composing context information. Thus, it is a topographical approach for modeling a space, i.e.…”