Related projects
- Wirelessly Accessible Sensor Populations (WASP)
The WASP project aimed at narrowing the mismatch between research at the application level and the node and network level by covering the whole range from basic hardware, sensors, processor, communication, over the packaging of the nodes, the organisation of the nodes, towards the information distribution and a selection of applications. The emphasis in the project lays in the self-organisation and the services, which link the application to the sensor network.
OSAS is being developed as a programming model for sensor networks within work package five of the WASP project.
- Smart Objects For Intelligent Applications (SOFIA)
SAN group is doing research on providing interoperability of the SOFIA architecture with extremely small capability devices (e.g. 8MHz CPU) and reliability of the services provided. Our aim is to enhance and incorporate the light-weight OSAS (Open Service Architecture for Sensors) framework built by SAN into the SOFIA architecture. The resulting architecture will be capable of doing resource monitoring, resource management and service quality management for smart applications which are accessed through ownership policies. The indoor smart space domain with smart lighting scenarios is of particular interest.
- Versatile Interface for TRUstworthy VItal User (oriented) Services (VITRUVIUS)
The VITRUVIUS project aims at exploring the underlying key consequences for the architecture of Body Sensor Networks (BSN) and the handling of information about the individual's body. The connection of the privacy-sensitive "body state" to a rapidly evolving landscape of services, is the key theme of the project.
- Smart Context-aware Services (SmaCS)
The aim of the Smart Context-aware Services (SmaCS) project is to create critical software building blocks for providing contextual services to people in various environments and use cases, which go beyond the traditional view and implementations of context awareness for services. The project addresses critical questions such as how how to arrive at a more holistic view of requirements for the service web and human-systems-devices interaction, how to address and mine the complexity of the context data in practical cases and how to translate these new embedded intelligence design patterns into business models. A main target is to develop technical building blocks through living-lab research, where real users are able to utilize and evaluate the technology. The main use cases considered for this purpose are context-aware office spaces and healthcare.
- Adaptive Lighting Environments (ALE)
iLighting the World is a research programme initiated by TU/e in May 2009. This programme is supported by six faculties of TU/e in order to make the university and the city of Eindhoven a world-wide role player in the domain of domestic lighting. The research is divided into two main tracks: i) Adaptive Lighting Environments (ALE), and ii) Natural Lighting Solutions. The SAN group is involved in the ALE track, in which the departments of Computer Science, Industrial Design and Electrical Engineering cooperate. The application domain is inside a room or office in which multiple luminaries adaptively emit light and sensors gather light and context data.
- Sensor Networks for Public Safety (SenSafety)
SenSafety centers on safety and security in public spaces. It is fact that over 40% of people feels unsafe in the city. And, as demonstrated by the recent fire in a chemical plant and storage facility in Moerdijk, the authorities as well as the general public is often not well informed during emergencies.
- Intelligent Street Lighting for Energy Saving and Safety - ISLES
Within the ISLES project, the dynamic control of street/road lighting is investigated. The illumination of the street is adjusted according to activity within the street, while the safety aspects are taken into account. Two testbeds are used to evaluate the performance of the system with respect to traffic detection, energy efficiency, safety and network performance. The results from the testbeds are used as input to modeling tools that help in the deployment of larger installations.
Master-projects
- Integration of Wireless Sensor Networks with Service Oriented Architectures.
This project is aimed at exposing the functionality of services in an OSAS sensor network towards services in service oriented architectures and vice versa. This allows back-end systems to interact seemlessly with sensor nodes or networks through a specific SOA. In this project amosa is used as a specific instance of a SOA. (Master thesis by Migiel de Vos)
- Traffic aware and Low Power MAC Protocol Analysis and Validation.
This project is aimed at developing an implementation of TrawMAC and integration of this MAC with the OSAS programming model. Through a generic API OSAS can align the sleep schedule of the MAC with its application determined communication patterns. (Master thesis by Anton Bilos)
- On-Node Processing: Algorithms for Activity Classification
The purpose of this research is to investigate algorithms for activity classification, their usefulness for wireless sensor networks and how the OSAS system can be adjusted to support such an algorithm. As use cases for activity classification, an ECG sensor is used to gather data for heart monitoring and an acceleration sensor is used for movement classification. (Master thesis by Diana Albu)
- Resource modeling of software components in the OSAS framework
Wireless sensor networks are resource constrained systems. Therefore, determining resource requirements of WSN applications becomes important. The purpose of this research is the design and implementation of execution time (ET) and memory models for OSAS (Open Service Architecture for Sensors) software components. The ET analysis tool gives the best-case and worst-case execution times of OSAS execution units. It also provides the ET breakdown in terms of program constructs such as while loops and conditional statements. The memory analysis tool can predict the memory usage of OSAS software components. (Master thesis by Ashenafi (Ashu) Gebreweld)
- Resource and service management in smart spaces composed of high and low capacity nodes
Smart spaces may contain various types of embedded devices such as sensors, actuators, mobile computers and handheld devices. We classify these heterogeneous devices into two categories based on their capabilities, i.e. advanced devices and miniature devices. The former refers to a device with a lot of capabilities and high resources enough to support computationally expensive services. The latter refers to those devices that include a tiny microcontroller which generally uses simple protocols and optimized message formats to offer a simple service. Due to such heterogeneity, a smart space must support interoperability. However, a feasible resource management solution for interoperable devices in smart spaces is non-existent in the literature. Therefore, we propose a resource and service monitoring and management mechanism in smart spaces composed of interoperable low and high capacity nodes. (Master thesis by Çağrı Uysal and Özgür Özünlü)