Generalizing distributed sensing networks
- Univ. of Bremen (Germany)
Recent research in airborne oil spill remote sensing [FBFG94] leads towards modular systems that consist of several distinct sensors to combine the capabilities of the different sensor classes. The Medusa project [GHW96] is an example of a distributed system. It exhibits a distributed architecture to provide a maximum of flexibility, concurrency and safety and must clearly be rated as a classical distributed application from a computer science point of view. This article describes the {open_quotes}sensor description system{close_quotes} (SDS). SDS allows the developer of sensing systems to minimize the effort of integrating his particular subsystem into an existing application. By applying formal methods to the integration process a developer is able to describe the abstract properties of his sensing system like parameter values, generated data format, applicable methods on the data etc. and can thus rely on the SDS tools to produce the required software backends automatically: A graphical user interface for parameter control, an online visualization, data transfer facilities to a database and finally the evaluation and interpretation facility. Ibis technique puts future sensing enterprises in a position where different classes of sensors can easily be combined almost off-the-shelf to build powerful systems in very short turnaround times. 10 refs., 7 figs.
- OSTI ID:
- 390727
- Report Number(s):
- CONF-960613-; TRN: 96:004292-0032
- Resource Relation:
- Conference: 2. international airborne remote sensing conference and exhibition, San Francisco, CA (United States), 24-27 Jun 1996; Other Information: PBD: 1996; Related Information: Is Part Of Proceedings of the second international airborne remote sensing conference and exhibition: Technology, measurement & analysis. Volume III; PB: 870 p.
- Country of Publication:
- United States
- Language:
- English
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