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Enhancing Indoor Localization with Proximity Information in Wsn

Martin Osterloh

Published by VDM Verlag
ISBN 10: 3639310926 / ISBN 13: 9783639310924
New / Paperback / Quantity Available: 20
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Title: Enhancing Indoor Localization with Proximity...

Publisher: VDM Verlag

Binding: Paperback

Book Condition: New

Book Type: Paperback

Description:

Paperback. 100 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639310924

About this title:

Synopsis: 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.

About the Author: Martin Osterloh was born in 1985 in Muehlhausen, Germany. He received his Diploma (M. Sc.) in Computer Science in October 2010 from Ilmenau, University of Technology. His main interests are wireless sensor networks and their arising challenges. He is working since 2009 for the Digital Enterprise Research Institute in Galway, Ireland.

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