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Enhancing Indoor Localization with Proximity Information in Wsn: a Novel Way of Enhancing Indoor Localization in Wireless Sensor Networks Martin Osterloh
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Enhancing Indoor Localization with Proximity Information in Wsn: a Novel Way of Enhancing Indoor Localization in Wireless Sensor Networks
Martin Osterloh
Several studies have pointed out that RSS-based localization methods for indoor environments are inaccurate and faulty. In my work, I hypothesize that RSS-based localization can be enhanced by utilizing proximity information. Instead of considering solely the radio-signals of the item of interest, we also consider the signals of nearby items to enhance localization. Therefore, a information fusion algorithn was developed. In order to test my hypothesis, I developed an infrastructure to collect data from sensors equipped with a CC2420 radio interface.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 12, 2010 |
| ISBN13 | 9783639310924 |
| Publishers | VDM Verlag Dr. Müller |
| Pages | 100 |
| Dimensions | 226 × 6 × 150 mm · 158 g |
| Language | English |
