Enhancing Indoor Localization with Proximity Information in WSN: A novel way of enhancing indoor localization in wireless sensor networks - Softcover

Osterloh, Martin

Softcover

ISBN 10: 3639310926 ISBN 13: 9783639310924

Publisher: VDM Verlag Dr. Müller, 2010

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 this title

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.

Edition details

• Publisher: VDM Verlag Dr. Müller
• Publication date: 2010
• Language: English
• ISBN 10: 3639310926
• ISBN 13: 9783639310924
• Binding: Paperback
• Number of pages: 100