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| Content Provider | ACM Digital Library |
|---|---|
| Author | Klingbeil, Lasse Wark, Tim |
| Abstract | This paper describes the development and deployment of a wireless sensor network for monitoring human motion and position in an indoor environment. Mobile sensor nodes comprising mote-type devices, along with inertial sensors are worn by persons moving inside buildings. Motion data is preprocessed onboard mobile nodes and transferred to a static network of seed nodes using a delay tolerant protocol with minimal radio packet overhead. A Monte Carlo based localisation algorithm is implemented, which uses a person's pedometry data, indoor map information and seed node positions to provide accurate, real-time indoor location information. The performance of the network protocols and localisation algorithm are evaluated using simulated and real experimental data. |
| Starting Page | 39 |
| Ending Page | 50 |
| Page Count | 12 |
| File Format | |
| ISBN | 9780769531571 |
| DOI | 10.1109/IPSN.2008.15 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-04-22 |
| Access Restriction | Subscribed |
| Subject Keyword | Sensor networks localisation motion monitoring particle filter |
| Content Type | Text |
| Resource Type | Article |
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