Combining Wireless Sensor Networks and Semantic Middleware for an Internet of Things-Based Sportsman/Woman Monitoring Application.

Wireless Sensor Networks (WSNs) are spearheading the efforts taken to build and deploy systems aiming to accomplish the ultimate objectives of the Internet of Things. Due to the sensors WSNs nodes are provided with, and to their ubiquity and pervasive capabilities, these networks become extremely suitable for many applications that so-called conventional cabled or wireless networks are unable to handle. One of these still underdeveloped applications is monitoring physical parameters on a person. This is an especially interesting application regarding their age or activity, for any detected hazardous parameter can be notified not only to the monitored person as a warning, but also to any third party that may be helpful under critical circumstances, such as relatives or healthcare centers. We propose a system built to monitor a sportsman/woman during a workout session or performing a sport-related indoor activity. Sensors have been deployed by means of several nodes acting as the nodes of a WSN, along with a semantic middleware development used for hardware complexity abstraction purposes. The data extracted from the environment, combined with the information obtained from the user, will compose the basis of the services that can be obtained

Event-driven Middleware for Body and Ambient Sensor Applications

Continuing development of on-body and ambient sensors has led to a vast increase in sensor-based assistance and monitoring solutions. A growing range of modular sensors, and the necessity of running multiple applications on the sensor information, has led to an equally extensive increase in efforts for system development. In this work, we present an event-driven middleware for on-body and ambient sensor networks allowing multiple applications to define information types of their interest in a publish/subscribe manner. Incoming sensor data is hereby transformed into the required data representation which lifts the burden of adapting the application with respect to the connected sensors off the developer's shoulders. Furthermore, an unsupervised on-the-fly reloading of transformation rules from a remote server allows the system's adaptation to future applications and sensors at run-time as well as reducing the number of connected sensors. Open communication channels distribute sensor information to all interested applications. In addition to that, application-specific event channels are introduced that provide tailor-made information retrieval as well as control over the dissemination of critical information. The system is evaluated based on an Android implementation with transformation rules implemented as OSGi bundles that are retrieved from a remote web server. Evaluation shows a low impact of running the middleware and the transformation rules on a phone and highlights the reduced energy consumption by having fewer sensors serving multiple applications. It also points out the behavior and limits of the open and application-specific event channels with respect to CPU utilization, delivery ratio, and memory usage. In addition to the middleware approach, four (preventive) health care applications are presented. They take advantage of the mediation between sensors and applications and highlight the system's capabilities. By connecting body sensors for monitoring physical and physiological parameters as well as ambient sensors for retrieving information about user presence and interactions with the environment, full-fledged health monitoring examples for monitoring a user throughout the day are presented. Vital parameters are gathered from commercially available biosensors and the mediator device running both the middleware and the application is an off-the-shelf smart phone. For gaining information about a user's physical activity, custom-built body and ambient sensors are presented and deployed

The WASP architecture for wireless sensor networks

This paper presents some intermediate results of the EU-IST project WASP that aims to develop an integrated model for implementing applications using wireless sensor networks. In this paper we present our approach to programming sensor networks. The main contribution concerns the separation of three abstraction levels leaving more room for standardization than with current practices. In addition, we propose to program the network from an overall perspective rather than programming individual nodes. For doing this we present two programming models that complement one another. The proposed programming model is event-based, corresponding closely to the nature of wireless sensors. The paper shows our approaches by giving several examples and ends with a description of wireless sensor networks related services and gives an outlook on future work

The WASP architecture for wireless sensor networks

This paper presents some intermediate results of the EU-IST project WASP that aims to develop an integrated model for implementing applications using wireless sensor networks. In this paper we present our approach to programming sensor networks. The main contribution concerns the separation of three abstraction levels leaving more room for standardization than with current practices. In addition, we propose to program the network from an overall perspective rather than programming individual nodes. For doing this we present two programming models that complement one another. The proposed programming model is event-based, corresponding closely to the nature of wireless sensors. The paper shows our approaches by giving several examples and ends with a description of wireless sensor networks related services and gives an outlook on future work.</p

The WASP architecture for wireless sensor networks

\u3cp\u3eThis paper presents some intermediate results of the EU-IST project WASP that aims to develop an integrated model for implementing applications using wireless sensor networks. In this paper we present our approach to programming sensor networks. The main contribution concerns the separation of three abstraction levels leaving more room for standardization than with current practices. In addition, we propose to program the network from an overall perspective rather than programming individual nodes. For doing this we present two programming models that complement one another. The proposed programming model is event-based, corresponding closely to the nature of wireless sensors. The paper shows our approaches by giving several examples and ends with a description of wireless sensor networks related services and gives an outlook on future work.\u3c/p\u3