98,678 research outputs found

    Semantic Gateway as a Service architecture for IoT Interoperability

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    The Internet of Things (IoT) is set to occupy a substantial component of future Internet. The IoT connects sensors and devices that record physical observations to applications and services of the Internet. As a successor to technologies such as RFID and Wireless Sensor Networks (WSN), the IoT has stumbled into vertical silos of proprietary systems, providing little or no interoperability with similar systems. As the IoT represents future state of the Internet, an intelligent and scalable architecture is required to provide connectivity between these silos, enabling discovery of physical sensors and interpretation of messages between things. This paper proposes a gateway and Semantic Web enabled IoT architecture to provide interoperability between systems using established communication and data standards. The Semantic Gateway as Service (SGS) allows translation between messaging protocols such as XMPP, CoAP and MQTT via a multi-protocol proxy architecture. Utilization of broadly accepted specifications such as W3C's Semantic Sensor Network (SSN) ontology for semantic annotations of sensor data provide semantic interoperability between messages and support semantic reasoning to obtain higher-level actionable knowledge from low-level sensor data.Comment: 16 page

    ICT Integration for Electric Vehicles as Data Collector and Distributor of Data Services

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    At present, automotive companies are very interested in information communication technology (ICT), electric vehicle sensors, and their associated intelligent transport systems (ITS) applications. The production of in-vehicle sensors is developing continuously because of their proven benefits in preventing accidents, improving driving e?ciency, and collecting data for sensor-based services. These advantages are not only limited to the vehicle’s driver but also to the drivers of other vehicles and web database server as third parties. In this paper, we present Vehicle as a Data Collector and Distributor (VADCD), a concept that explains how a sensor-equipped vehicle can be considered as a pivotal, mobile source of sensory data and sensor-related applications and services

    A Component-based Approach for Service Distribution in Sensor Networks

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    International audienceThe increasing number of distributed applications over Wireless Sensor Networks (WSNs) in ubiquitous environments raises the need for high-level mechanisms to distribute sensor services and integrate them in modern IT systems. Existing work in this area mostly focuses on low-level networking issues, and fails to provide high-level and off-the-shelf programming abstractions for this purpose. In this paper, we therefore consider WSN programming models and service distribution as two interrelated factors and we present a new component-based abstraction for integrating WSNs within existing IT systems. Our approach emphasizes on reifying distribution strategies at the software architecture level, thus allowing remote invocation of component services, and facilitating interoperability of sensor services with the Internet through Web service-enabled components. The latter is efficiently provided by incorporating the REST architectural style—emphasizing on abstraction of high-level services as resources—to our component-based framework. The preliminary evaluation results show that the proposed framework has an acceptable memory overhead on a TelosB sensor platform

    Web services for the dissemination of ambient information to I-centric applications

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    Applications offered to end-users as value added services, or more simply services, are crucial to the success of future generations mobile communication systems. One important capability that will enable novel services is ambient awareness. The awareness of ambient information is usually acquired by a network of sensors and is related to end-users' context in terms of situation and environment. There exist several frameworks for the dissemination of sensor data to end-user applications. They range from low-level APIs to databases and include Web services. This thesis advocates Web services for the dissemination of ambient information to I-centric applications. It shows the shortcomings of the current dissemination frameworks and demonstrates the promises of Web services as a framework. High level of abstraction offered to application developers and ease of integration are among the key motivating factors. A set of Web services for bridging these applications and sensor networks are defined and implemented. They provide ambient information such as location, velocity, environmental data, physical presence and proximity. A generic functional architecture of the framework and a model for ambient information provide sensor interoperability and are implemented as part of the thesis. To ultimately show the feasibility of the Web service based framework, performance measurements are conducted with respect to network load and response time. The analysis shows that response time is increased while network load may decrease or increase depending on the type of ambient information requested. Ultimately, it is a small price to pay for benefiting from sensor interoperability and ease of application development

    Dynamic adaptation of interaction models for stateful web services

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    Dissertação para obtenção do Grau de Mestre em Engenharia InformáticaWireless Sensor Networks (WSNs) are accepted as one of the fundamental technologies for current and future science in all domains, where WSNs formed from either static or mobile sensor devices allow a low cost high-resolution sensing of the environment. Such opens the possibility of developing new kinds of crucial applications or providing more accurate data to more traditional ones. For instance, examples may range from large-scale WSNs deployed on oceans contributing to weather prediction simulations; to high number of diverse Sensor devices deployed over a geographical area at different heights from the ground for collecting more accurate data for cyclic wildfire spread simulations; or to networks of mobile phone devices contributing to urban traffic management via Participatory Sensing applications. In order to simplify data access, network parameterisation, and WSNs aggregation, WSNs have been integrated in Web environments, namely through high level standard interfaces like Web services. However, the typical interface access usually supports a restricted number of interaction models and the available mechanisms for their run-time adaptation are still scarce. Nevertheless, applications demand a richer and more flexible control on interface accesses – e.g. such accesses may depend on contextual information and, consequently, may evolve in time. Additionally, Web services have become increasingly popular in the latest years, and their usage led to the need of aggregating and coordinating them and also to represent state in between Web services invocations. Current standard composition languages for Web services (wsbpel,wsci,bpml) deal with the traditional forms of service aggregation and coordination, while WS-Resource framework (wsrf) deals with accessing services pertaining state concerns (relating both executing applications and the runtime environment). Subjacent to the notion of service coordination is the need to capture dependencies among them (through the workflow concept, for instance), reuse common interaction models, e.g. embodied in common behavioural Patterns like Client/Server, Publish/- Subscriber, Stream, and respond to dynamic events in the system (novel user requests, service failures, etc.). Dynamic adaptation, in particular, is a pressing requirement for current service-based systems due to the increasing trend on XaaS ("everything as a service") which promises to reduce costs on application development and infrastructure support, as is already apparent in the Cloud computing domain. Therefore, the self-adaptive (or dynamic/adaptive) systems present themselves as a solution to the above concerns. However, since they comprise a vast area, this thesis only focus on self-adaptive software. Concretely, we propose a novel model for dynamic interactions, in particular with Stateful Web Services, i.e. services interfacing continued activities. The solution consists on a middleware prototype based on pattern abstractions which may be able to provide (novel) richer interaction models and a few structured dynamic adaptation mechanisms, which are captured in the context of a "Session" abstraction. The middleware was implemented and uses a pre-existent framework supporting Web enabled access to WSNs, and some evaluation scenarios were tested in this setting. Namely, this area was chosen as the application domain that contextualizes this work as it contributes to the development of increasingly important applications needing highresolution and low cost sensing of environment. The result is a novel way to specify richer and dynamic modes of accessing and acquiring data generated by WSNs.Este trabalho foi parcialmente financiado pelo Centro de Informática e Tecnologias da Informação (CITI), e pela Fundação para a Ciência e a Tecnologia (FCT / MCTES) em projectos de investigaçã

    The Integration, Analysis and Visualization of Sensor Data from Dispersed Wireless Sensor Network Systems Using the SWE Framework, Journal of Telecommunications and Information Technology, 2001, nr 4

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    Wireless Sensor Networks (WSNs) have been used in numerous applications to remotely gather real-time data on important environmental parameters. There are several projects where WSNs are deployed in different locations and operate independently. Each deployment has its own models, encodings, and services for sensor data, and are integrated with different types of visualization/analysis tools based on individual project requirements. This makes it difficult to reuse these services for other WSN applications. A user/system is impeded by having to learn the models, encodings, and services of each system, and also must integrate/interoperate data from different data sources. Sensor Web Enablement (SWE) provides a set of standards (web service interfaces and data encoding/model specifications) to make sensor data publicly available on the web. This paper describes how the SWE framework can be extended to integrate disparate WSN systems and to support standardized access to sensor data. The proposed system also introduces a web-based data visualization and statistical analysis service for data stored in the Sensor Observation Service (SOS) by integrating open source technologies. A performance analysis is presented to show that the additional features have minimal impact on the system. Also some lessons learned through implementing SWE are discussed

    A Component-based Approach for Service Distribution in Sensor Networks

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    ABSTRACT The increasing number of distributed applications over Wireless Sensor Networks (WSNs) in ubiquitous environments raises the need for high-level mechanisms to distribute sensor services and integrate them in modern IT systems. Existing work in this area mostly focuses on low-level networking issues, and fails to provide high-level and off-the-shelf programming abstractions for this purpose. In this paper, we therefore consider WSN programming models and service distribution as two interrelated factors and we present a new component-based abstraction for integrating WSNs within existing IT systems. Our approach emphasizes on reifying distribution strategies at the software architecture level, thus allowing remote invocation of component services, and facilitating interoperability of sensor services with the Internet through Web service-enabled components. The latter is efficiently provided by incorporating the REST architectural style-emphasizing on abstraction of high-level services as resources-to our component-based framework. The preliminary evaluation results show that the proposed framework has an acceptable memory overhead on a TelosB sensor platform

    Telemedicine and natural disasters: various services, requirements, challenges, and general framework

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    Providing early health care services in natural disaster is one of the essential applications of telemedicine. This narrative review aims to investigate the applications, advantages and challenges of telemedicine in natural disaster-stricken areas. Medline (through PubMed), Web of Science (WOS), and Scopus databases were searched for related articles published from beginning to 2022. The keywords used for the search included "telemedicine" and "natural disaster." After removing duplicate papers, irrelevant review articles and letters to editors, 44 relevant papers were selected and reviewed. Information sharing through audio, visual, and data-oriented services is among critical approaches that telemedicine services mainly use. Teleconsultation, tele-education, remote interpretation, tele-psychiatry, and tele-surgery are among measures that can be implemented in emergencies like earthquakes, fires, floods, storms, and drought. The fundamental requirements of a telemedicine-oriented system for providing emergency services in natural disasters include wireless scales, conversation tools, blood pressure monitor, respiratory rate monitor, spo2 sensor, glucometer, portable ultrasound unit, wearable thermometers, virtual stethoscopes, portable three leads electrocardiograph monitor, and digital otoscopes. Simple telemedicine systems can have many advantages in the natural disasters. However, the main challenge in this regard is to adapt the necessary communication systems to a telemedicine paradigm. Another critical challenge is to interpret and apply the summary of acquired information and the inevitable interaction outcomes at the required time and place
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