Abstract
This paper proposes a new mobility model more suitable for a user that moves in a 3D indoor space. A fingerprinting method is used to compare the performance of the new model with another feasible one found in literature. The software implementation is made available at[5].
Original language | English |
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Title of host publication | Proceedings of the 5th International Workshop on Mobile Entity Localization and Tracking in GPS-Less Environments, MELT 2015 |
Editors | Ying Zhang, Bodhi Priyantha |
Publisher | Association for Computing Machinery, Inc |
ISBN (Electronic) | 9781450339681 |
DOIs | |
State | Published - 3 Nov 2015 |
Externally published | Yes |
Event | 5th International Workshop on Mobile Entity Localization and Tracking in GPS-Less Environments, MELT 2015 - Seattle, United States Duration: 3 Nov 2015 → … |
Publication series
Name | Proceedings of the 5th International Workshop on Mobile Entity Localization and Tracking in GPS-Less Environments, MELT 2015 |
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Conference
Conference | 5th International Workshop on Mobile Entity Localization and Tracking in GPS-Less Environments, MELT 2015 |
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Country/Territory | United States |
City | Seattle |
Period | 3/11/15 → … |
Bibliographical note
Publisher Copyright:© 2015 ACM.
Keywords
- Fingerprinting
- Indoor positioning
- Mobility models