Performance Evaluation of Localization Techniques for Wireless Sensor Networks
| atmire.migration.oldid | 620 | |
| dc.contributor.advisor | Leung, Henry | |
| dc.contributor.author | Maddumabandara, Ratagedara Herath M. Achintha | |
| dc.date.accessioned | 2013-01-23T21:20:22Z | |
| dc.date.available | 2013-06-15T07:01:44Z | |
| dc.date.issued | 2013-01-23 | |
| dc.date.submitted | 2013 | en |
| dc.description.abstract | Localising people can be achieved by using wearable sensor nodes or by listening to speech. Receiver Signal Strength Indicator (RSSI), Time of Arrival (TOA) and Time Difference of Arrival (TDOA) are three main techniques that have been used in sensor node localization. Since lack of restrictions, the TDOA based methods have become more popular. It can be used for both wearable sensor nodes and for localizing speech. Using a wireless sensor network instead a wired microphone array is more convenient and easily deployable. However, performance degrades rapidly with acoustic reverberation and packet loss. Though robust beamforming techniques like SRP-PHAT exist, they are computationally exhaustive. In this study, performance of both localization using wearable sensor nodes and speech are experimentally evaluated. Effect of packet loss is analysed and ways of minimizing the effects are proposed. Variance of TDOA estimate is derived and a new search algorithm to minimize computational cost of SRP-PHAT is proposed. | en_US |
| dc.identifier.citation | Maddumabandara, R. H. (2013). Performance Evaluation of Localization Techniques for Wireless Sensor Networks (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27295 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/27295 | |
| dc.identifier.uri | http://hdl.handle.net/11023/446 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Engineering--Electronics and Electrical | |
| dc.subject.classification | Speaker Localization | en_US |
| dc.subject.classification | Wireless Sensor Networks | en_US |
| dc.subject.classification | TDOA | en_US |
| dc.title | Performance Evaluation of Localization Techniques for Wireless Sensor Networks | |
| dc.type | master thesis | |
| thesis.degree.discipline | Electrical and Computer Engineering | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |