Utilization of Novel Overlap Functions in Wireless Sensor Fusion
With the emergence of high-speed wireless networks and with their increased computational capabilities, distributed sensor networks (DSNs) have a wide range of real time applications in automation, defense, medical imaging, robotics, whether predictions, etc. Since the early 1990s, DSNs have been an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2008-07-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/july_08/P_304.pdf |
| Summary: | With the emergence of high-speed wireless networks and with their increased computational capabilities, distributed sensor networks (DSNs) have a wide range of real time applications in automation, defense, medical imaging, robotics, whether predictions, etc. Since the early 1990s, DSNs have been an active research area. In this research paper, various well known overlap functions utilized in wireless sensor fusion are briefly summarized. Novel overlap functions, namely the dual of W, N Functions are defined. By associating a overlap probability distribution function with the W Function, novel performance measures related to the sensor fusion problem are discussed. Other interesting approaches for defining novel overlap functions are discussed. The relationship between existing theories (such as rough set theory, detection theory and fuzzy set theory) and wireless sensor fusion problem is discussed.
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| ISSN: | 2306-8515 1726-5479 |