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Fine-grained localization in wireless sensor networks using acoustic sound transmissions and high precision clock synchronization
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| Identifier | 000339002 | |||
| Title | Fine-grained localization in wireless sensor networks using acoustic sound transmissions and high precision clock synchronization | |||
| Alternative Title | Ακριβής Εντοπισμός Θέσης σε Ασύρματα Δίκτυα Αισθητήρων χρησιμοποιώντας Εκπομπές Ακουστικού Ήχου και Συγχρονισμό Ρολογιών Υψηλής Ακριβείας | |||
| Author | Μάγγας, Ευάγγελος | |||
| Thesis advisor | Μπίλλας, Άγγελος | |||
| Abstract |
The purpose of our work is to provide a localization method, built to operate on sensors without the need for external infrastructure, excessive hardware or great resource consumption. We achieve localization by having each node produce an audible sound pulse while the rest of the nodes are sensing the audio frequency spectrum. All listeners capture timestamps in a global synchronized timescale at the reception of the sound and we calculate sound time of flight for each one of them by subtracting the sounder’s timestamp from each listener’s timestamp. We then use sound time of flight measurements so as to estimate distance from the sounder. The focus of our work is (a) on high accuracy clock synchronization and (b) on sound detection for range estimation. In order to provide nodes with synchronized clocks, we have implemented a synchronization protocol operating on MAC-Layer that does not introduce significant communication cost. We demonstrate through simultaneously raising interrupts to the network nodes that our synchronization mechanism guarantees average synchronization precision of 4μs. We also present a technique for efficient sound detection that does not require excessive resources and results in consistent detection in a range of environments. Our experiments reveal that localization is possible to be performed exclusively by sensors and yield average location estimation error 11cm in distances up to 700cm in certain environments. |
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| Physical description | ιx, 48, 5 σ. : εικ. ; 30 cm. | |||
| Language | English | |||
| Issue date | 2008-12-04 | |||
| Collection | School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses | |||
| Type of Work--Post-graduate theses | ||||
| Views | 505 | |||
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