Conference proceeding
Computationally Tractable Approaches to Modeling the Coverage of Weather Sensor Networks
2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), pp 4905-4912
01 Jan 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Computationally tractable methods are required to identify the potential contribution of sensors. This paper presents computationally tractable methods to measure radar coverage. Two measures are introduced. One is covered voxels which measures an upper bound of the number of distinct high quality values that can be returned from the radar system for a weather feature. The other is the high quality feature coverage area percentage that defines what percentage of the weather feature is sensed by covered voxels. Five methods (2 2D and 3 3D algorithms) are presented to help calculate the data required to determine the values for these measures. The algorithms are used on two systems to test drive the framework including run-time performance measures for the algorithms themselves. For both 2D and 3D cases, the approximations helped with respect to computation time. In addition, the feature approximation/3D volume coverage algorithm (using 3D-grid) greatly reduced the computation time.
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Details
- Title
- Computationally Tractable Approaches to Modeling the Coverage of Weather Sensor Networks
- Creators
- Ziho Kang - Drexel UniversityEllen J. Bass - Drexel UniversityIEEE
- Publication Details
- 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), pp 4905-4912
- Series
- IEEE International Conference on Systems Man and Cybernetics Conference Proceedings
- Publisher
- IEEE
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000332201905007
- Scopus ID
- 2-s2.0-84893622024
- Other Identifier
- 991019168473104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Information Systems
- Engineering, Electrical & Electronic