UniDA: Uniform Device Access Framework for Human Interaction Environments

Human interaction environments (HIE) must be understood as any place where people carry out their daily life, including their work, family life, leisure and social life, interacting with technology to enhance or facilitate the experience. The integration of technology in these environments has been achieved in a disorderly and incompatible way, with devices operating in isolated islands with artificial edges delimited by the manufacturers. In this paper we are presenting the UniDA framework, an integral solution for the development of systems that require the integration and interoperation of devices and technologies in HIEs. It provides developers and installers with a uniform conceptual framework capable of modelling an HIE, together with a set of libraries, tools and devices to build distributed instrumentation networks with support for transparent integration of other technologies. A series of use case examples and a comparison to many of the existing technologies in the field has been included in order to show the benefits of using UniDA

MANAGING THE EFFECTS OF WIRELESS SENSORS ON VEHICLE AD HOC NETWORK (VANET) SAFETY

This paper proposes to conduct research on the vehicular ad hoc networks (VANET) area of Intelligent Transportation Systems (ITS) with a focus on investigating safety methods that will significantly reduce passenger vehicle collisions which ultimately will help to save lives and reduce property losses. Key areas of this ITS research will include highway infrastructure or wireless sensor networks (WSN) to the cloud (web service) and the cloud (web service) to highway infrastructure or wireless sensor network (WSN). In turn, the cloud (web service) will communicate with passenger vehicles as components of a highway infrastructure (WSN) to vehicle (I2V) systems and a vehicle to highway infrastructure (V2I) systems. In turn, the cloud (web service) will communicate with passenger vehicles as components of a vehicle to highway infrastructure (V2I) system and a highway infrastructure to vehicle (I2V) system. Active circuit emulation will be used as an analysis tool for this research. The cloud web service in this case, will be a database that will be connected through an IEEE802.11 broadband (Wi-Fi) gateway via a border router or a network capable application processor (NCAP) to hardware and software wireless sensor networks or a simulated wireless network. The highway infrastructure portion of this design will be the IEEE1451 standard-based wireless sensor network called wireless transducer interface modules (WTIM). These WTIMs will be responsible for disseminating information from their multitude of sensors to vehicles and/or to the cloud via NCAP routers

Remote service provision for connected homes.

This research study proposed to view a remote service delivery system from three distinct perspectives: connected home environments (user perspective), remote service delivery platform (service enabler), and remote service providers (service provider perspective); to establish a holistic view on the requirements of remote service provision to connected home environments. A reference architecture for remote service provision based on the proposed views has been devised, which provides built-in support for an “On-Demand” operating model and facilitate “Freedom of Choice” via different levels of interoperability

Current status of the IEEE 1451 standard-based sensor applications

In this paper, we have discussed the sensor-based applications and what is necessary for the dissimilarities in hardware realization and algorithm. This paper presents the existing state-of-the-art of IEEE 1451 standard-based sensor applications and is mainly focused on standard transducer interface module (STIM), network capable application processor (NCAP), and transducer-independent interface (TII). They have some major factors that are regularly imperative in the development of IEEE 1451 standard-based applications, such as plug and play facility, for one or more than one STIM, communication protocols/network’s, architecture, reliability, maintenance, accuracy, easy to use, cost, transducer electronic data sheet, test facility, and so on. The above concerns are also summarized by reference to research articles on STIM, NCAP, and TII. Highlighting is on the predictability of dynamic applications that concentrate on the above mentioned criteria.http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361hb201

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

Enabling peer-to-peer remote experimentation in distributed online remote laboratories

Remote Access Laboratories (RALs) are online platforms that allow human user interaction with physical instruments over the Internet. Usually RALs follow a client-server paradigm. Dedicated providers create and maintain experiments and corresponding educational content. In contrast, this dissertation focuses on a Peer-to-Peer (P2P) service model for RALs where users are encouraged to host experiments at their location. This approach can be seen as an example of an Internet of Things (IoT) system. A set of smart devices work together providing a cyber-physical interface for users to run experiments remotely via the Internet. The majority of traditional RAL learning activities focus on undergraduate education where hands-on experience such as building experiments, is not a major focus. In contrast this work is motivated by the need to improve Science, Technology, Engineering and Mathematics (STEM) education for school-aged children. Here physically constructing experiments forms a substantial part of the learning experience. In the proposed approach, experiments can be designed with relatively simple components such as LEGO Mindstorms or Arduinos. The user interface can be programed using SNAP!, a graphical programming tool. While the motivation for the work is educational in nature, this thesis focuses on the technical details of experiment control in an opportunistic distributed environment. P2P RAL aims to enable any two random participants in the system - one in the role of maker creating and hosting an experiment and one in the role of learner using the experiment - to establish a communication session during which the learner runs the remote experiment through the Internet without requiring a centralized experiment or service provider. The makers need to have support to create the experiment according to a common web based programing interface. Thus, the P2P approach of RALs requires an architecture that provides a set of heterogeneous tools which can be used by makers to create a wide variety of experiments. The core contribution of this dissertation is an automaton-based model (twin finite state automata) of the controller units and the controller interface of an experiment. This enables the creation of experiments based on a common platform, both in terms of software and hardware. This architecture enables further development of algorithms for evaluating and supporting the performance of users which is demonstrated through a number of algorithms. It can also ensure the safety of instruments with intelligent tools. The proposed network architecture for P2P RALs is designed to minimise latency to improve user satisfaction and learning experience. As experiment availability is limited for this approach of RALs, novel scheduling strategies are proposed. Each of these contributions has been validated through either simulations, e.g. in case of network architecture and scheduling, or test-bed implementations, in case of the intelligent tools. Three example experiments are discussed along with users' feedback on their experience of creating an experiment and using others’ experimental setup. The focus of the thesis is mainly on the design and hosting of experiments and ensuring user accessibility to them. The main contributions of this thesis are in regards to machine learning and data mining techniques applied to IoT systems in order to realize the P2P RALs system. This research has shown that a P2P architecture of RALs can provide a wide variety of experimental setups in a modular environment with high scalability. It can potentially enhance the user-learning experience while aiding the makers of experiments. It presents new aspects of learning analytics mechanisms to monitor and support users while running experiments, thus lending itself to further research. The proposed mathematical models are also applicable to other Internet of Things applications