Using semantic transformers to enable interoperability between media devices in a ubiquitous computing environment

One of the aims of ubiquitous computing is to enable \serendipitous interoperability"; i.e., to make devices that were not necessarily designed to work together interoperate with one another. It also promises to make technologies disappear, by weaving themselves into the fabric of everyday life until they are indistinguishable from it. In order to reach this goal, self-con??guration of the various devices and technologies in ubicomp environments is essential. Whether automated and initiated by context-aware entities, or initiated by users by creating semantic connections between devices, the actual con??guration of the various components (based on their capabilities) should be performed automatically by the system. In this paper we introduce semantic transformers that can be employed to enable interoperability through self-con??guration mechanisms

Using Semantic Transformers to Enable Interoperability between Media Devices in a Ubiquitous Computing Environment

One of the aims of ubiquitous computing is to enable "serendipitous interoperability"; i.e., to make devices that were not necessarily designed to work together interoperate with one another. It also promises to make technologies disappear, by weaving themselves into the fabric of everyday life until they are indistinguishable from it. In order to reach this goal, self-configuration of the various devices and technologies in ubicomp environments is essential. Whether automated and initiated by context-aware entities, or initiated by users by creating semantic connections between devices, the actual configuration of the various components (based on their capabilities) should be performed automatically by the system. In this paper we introduce semantic transformers that can be employed to enable interoperability through self-configuration mechanisms

An interoperability framework for pervasive computing systems

Communication and interaction between smart devices is the foundation for pervasive computing and the Internet of Things. Pervasive platforms, that support developers in building new services and applications, have been extensively researched in the past. Nowadays, a multitude of heterogeneous pervasive platforms exist. In real-world deployments, this leads to the formation of platform-specific silos. Therefore, the need for interoperability between such platforms arises. This thesis presents a framework which addresses all elaborated issues preventing co-operation between different platforms and allows for extension and customisation of different aspects, including platforms and transformation mechanisms. The framework bases on uniform abstractions that support translations of different features. The transformation model provides an automatic as well as a manual transformation mechanism. For evaluation, a prototype is implemented and assessed, providing support for six distinct platforms. Particularly, the framework’s feasibility is demonstrated with three realistic scenario implementations, an effort evaluation, and a cost evaluation

Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoT-aided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems

Survey on Quality of Observation within Sensor Web Systems

The Sensor Web vision refers to the addition of a middleware layer between sensors and applications. To bridge the gap between these two layers, Sensor Web systems must deal with heterogeneous sources, which produce heterogeneous observations of disparate quality. Managing such diversity at the application level can be complex and requires high levels of expertise from application developers. Moreover, as an information-centric system, any Sensor Web should provide support for Quality of Observation (QoO) requirements. In practice, however, only few Sensor Webs provide satisfying QoO support and are able to deliver high-quality observations to end consumers in a specific manner. This survey aims to study why and how observation quality should be addressed in Sensor Webs. It proposes three original contributions. First, it provides important insights into quality dimensions and proposes to use the QoO notion to deal with information quality within Sensor Webs. Second, it proposes a QoO-oriented review of 29 Sensor Web solutions developed between 2003 and 2016, as well as a custom taxonomy to characterise some of their features from a QoO perspective. Finally, it draws four major requirements required to build future adaptive and QoO-aware Sensor Web solutions