CODE: description language for wireless collaborating objects

This paper introduces CODE, a Description Language for Wireless Collaborating Objects (WCO), with the specific aim of enabling service management in smart environments. WCO extend the traditional model of wireless sensor networks by transferring additional intelligence and responsibility from the gateway level to the network. WCO are able to offer complex services based on cooperation among sensor nodes. CODE provides the vocabulary for describing the complex services offered by WCO. It enables description of services offered by groups, on-demand services, service interface and sub-services. The proposed methodology is based on XML, widely used for structured information exchange and collaboration. CODE can be directly implemented on the network gateway, while a lightweight binary version is stored and exchanged among sensor nodes. Experimental results show the feasibility and flexibility of using CODE as a basis for service management in WCO

Views from the coalface: chemo-sensors, sensor networks and the semantic sensor web

Currently millions of sensors are being deployed in sensor networks across the world. These networks generate vast quantities of heterogeneous data across various levels of spatial and temporal granularity. Sensors range from single-point in situ sensors to remote satellite sensors which can cover the globe. The semantic sensor web in principle should allow for the unification of the web with the real-word. In this position paper, we discuss the major challenges to this unification from the perspective of sensor developers (especially chemo-sensors) and integrating sensors data in real-world deployments. These challenges include: (1) identifying the quality of the data; (2) heterogeneity of data sources and data transport methods; (3) integrating data streams from different sources and modalities (esp. contextual information), and (4) pushing intelligence to the sensor level

Semantic Gateway as a Service architecture for IoT Interoperability

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

Sensorml-Nt: Innovative Cloud Service Sensor Description For Mobile Devices Handling Environmental Issues.

Peranti mudah alih hari ini boleh didapati di mana-mana dan semakin banyak dilengkapi dengan set pengesan terbenam yang berkuasa. Today’s mobile devices are pervasive and equipped with growing sets of powerful embedded sensors

Application of Advanced Early Warning Systems with Adaptive Protection

This project developed and field-tested two methods of Adaptive Protection systems utilizing synchrophasor data. One method detects conditions of system stress that can lead to unintended relay operation, and initiates a supervisory signal to modify relay response in real time to avoid false trips. The second method detects the possibility of false trips of impedance relays as stable system swings “encroach” on the relays’ impedance zones, and produces an early warning so that relay engineers can re-evaluate relay settings. In addition, real-time synchrophasor data produced by this project was used to develop advanced visualization techniques for display of synchrophasor data to utility operators and engineers

Open data model standards for structural performance monitoring of infrastructure assets

Employing the BIM approach during the operational phase of an infrastructure asset’s life cycle represents the largest opportunity for reducing the total life cycle cost. One aspect of the operation of an infrastructure asset is to monitor its structural performance to ensure safety, for which structural sensors are increasingly being used. Semantically rich as-built BIM models that represent the actual conditions of the constructed assets can improve and quicken the structural performance monitoring of infrastructure assets. Nevertheless, the current open data model standards are not fit for this purpose yet, which greatly reduces the usefulness of the BIM approach during the operational phase of an infrastructure asset. This paper examines the capabilities of existing data model standards and, based on alternative approaches to overcome the lack of current capabilities and a proposed use-case, makes recommendations for possible extensions to the standards. The paper concludes that amendments to current data model standards are needed to enable modelling of complex monitoring systems and appropriate management and visualisation of sensor data.This is the author accepted manuscript. It is currently embargoed pending publication

A prototype to integrate a wireless sensor network with civil protection grid applications

The present work was performed in the context of the CYCLOPS project, which aimed to exploit the Grid capabilities for Global Monitoring for Environment and Security (GMES) applications. The scenario exploited in the present work was the existence of remote wireless sensor networks, which could monitor and transmit real-time data from remote places, in order to prevent or react more accurately to situations of natural disasters. Considering a Wireless Sensor Network (WSN) as an instrument, we used the DORII middleware to integrate this instrument with gLite-based Grid computing and storage, allowing an effective and user friendly access to the instrument, as it is required by Civil Protection applications. The mentioned goal was achieved by (i) implementing an Instrument Element and several Instrument Managers, which virtualize the WSN; (ii) developing a Custom Java Interface to connect the Instrument Managers with sensors, performing the translation of the commands/data exchanged between them; (iii) implementing additional modules to permit a long duration (or offline) monitoring, saving the observed data in a database; (iv) implementing a Sensor Observation Service, following the OGC standards, providing the users with access to the database

The integration, analysis and visualization of sensor data from dispersed wireless sensor network systems using the SWE framework

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 in-dividual project requirements. This makes it difucult to reuse these services for other WSN applications. A user/system is impeded by having to learn the models, encodings, and ser-vices 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 sys-tems and to support standardized access to sensor data. The proposed system also introduces a web-based data visualiza-tion and statistical analysis service for data stored in the Sen-sor Observation Service (SOS) by integrating open source technologies. A performance analysis is presented to show that the additional features have minimal impact on the sys-tem. Also some lessons learned through implementing SWE are discussed