Research Article
OASiS: A Programming Framework for Service-Oriented Sensor Networks
@INPROCEEDINGS{10.1109/COMSWA.2007.382431, author={Manish Kushwaha and Isaac Amundson and Xenofon Koutsoukos and Sandeep Neema and Janos Sztipanovits}, title={OASiS: A Programming Framework for Service-Oriented Sensor Networks}, proceedings={2nd International IEEE Conference on Communication System Software and Middleware}, publisher={IEEE}, proceedings_a={COMSWARE}, year={2007}, month={7}, keywords={Computer networks Distributed computing Logic programming Middleware Monitoring Sensor phenomena and characterization Spatiotemporal phenomena Terrorism Wireless communication Wireless sensor networks}, doi={10.1109/COMSWA.2007.382431} }- Manish Kushwaha
Isaac Amundson
Xenofon Koutsoukos
Sandeep Neema
Janos Sztipanovits
Year: 2007
OASiS: A Programming Framework for Service-Oriented Sensor Networks
COMSWARE
IEEE
DOI: 10.1109/COMSWA.2007.382431
Abstract
Wireless sensor networks consist of small, inexpensive devices which interact with the environment, communicate with each other, and perform distributed computations in order to monitor spatio-temporal phenomena. These devices are ideally suited for a variety of applications including object tracking, environmental monitoring, and homeland security. At present, sensor network technologies do not provide off-the-shelf solutions to users who lack low-level network programming experience. Because of limited resources, ad hoc deployments, and volatile wireless communication links, the development of distributed applications require the combination of both application and system-level logic. Programming frameworks and middleware for traditional distributed computing are not suitable for many of these problems due to the resource constraints and interactions with the physical world. To address these challenges we have developed OASiS, a programming framework that provides abstractions for object-centric, ambient-aware, service-oriented sensor network applications. OASiS uses a well-defined model of computation based on globally asynchronous locally synchronous dataflow, and is complemented by a user-friendly modeling environment. Applications are realized as graphs of modular services and executed in response to the detection of physical phenomena. We have also implemented a suite of middleware services that support OASiS to provide a layer of abstraction shielding the low-level system complexities. A tracking application is used to illustrate the features of OASiS. Our results demonstrate the feasibility and the benefits of a service-oriented programming framework for composing and deploying applications in resource-constrained sensor networks
