Thesis
A sensor web service framework to enable realtime information sharing
Washington State University
Master of Science (MS), Washington State University
2009
Handle:
https://hdl.handle.net/2376/101981
Abstract
A Sensor Web is a coordinated observation infrastructure composed of a distributed collection of resources, e.g. sensors, platforms, models, communications infrastructure, that can collectively behave as a single, autonomous, task-able, dynamically adaptive and reconfigurable observing system that provides raw and processed data, along with associated metadata, via a set of standards-based service-oriented interfaces. The definition of the term, sensor, is intentionally broad and abstract to include a wide range of data and/or information providers. This definition, for example, includes models and not just physical instruments capable of sensing a phenomenon. Human reports, radar, satellite feeds, models, and thermometers are all examples of sensors within the context of a sensor web. This thesis proposes a Sensor Web Service Framework to enable information sharing program in peer-to-peer (P2P) manner. It provides the interface for the data providers to publish their data, also provides the interface for the clients to set alert on their desired data and to query/view those data. As the proof of concept, I will use it for managing two types of data: the online merchandise database and the volcanic datastream including seismic and infrasonic. This work is a first step to providing an intelligent backbone as the core of the next Internet. An implicit contribution of this project is to provide realtime and situation-aware information sharing services over the Internet in the P2P manner.
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Details
- Title
- A sensor web service framework to enable realtime information sharing
- Creators
- Hung Anh Ma
- Contributors
- WenZhan Song (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525048601842
- Language
- English
- Resource Type
- Thesis