Advancing wireless link signatures for location distinction Export

@inproceedings{zhang:distinction, abstract = {Location distinction is the ability to determine when a device has changed its position. We explore the opportunity to use sophisticated PHY-layer measurements in wireless networking systems for location distinction. We first compare two existing location distinction methods - one based on channel gains of multi-tonal probes, and another on channel impulse response. Next, we combine the benefits of these two methods to develop a new link measurement that we call the complex temporal signature. We use a 2.4 GHz link measurement data set, obtained from CRAWDAD [10], to evaluate the three location distinction methods. We find that the complex temporal signature method performs significantly better compared to the existing methods. We also perform new measurements to understand and model the temporal behavior of link signatures over time. We integrate our model in our location distinction mechanism and significantly reduce the probability of false alarms due to temporal variations of link signatures.}, address = {New York, NY, USA}, author = {Zhang, Junxing and Firooz, Mohammad H. and Patwari, Neal and Kasera, Sneha K.}, booktitle = {MobiCom '08: Proceedings of the 14th ACM international conference on Mobile computing and networking}, citeulike-article-id = {5687716}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1409949}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1409944.1409949}, doi = {10.1145/1409944.1409949}, isbn = {978-1-60558-096-8}, keywords = {crawdad, localisation, utah\_cir}, location = {San Francisco, California, USA}, pages = {26--37}, posted-at = {2009-08-31 13:17:25}, priority = {2}, publisher = {ACM}, title = {Advancing wireless link signatures for location distinction}, url = {http://dx.doi.org/10.1145/1409944.1409949}, year = {2008} }

TY - CONF ID - zhang:distinction L3 - citeulike-article-id:5687716 N2 - Location distinction is the ability to determine when a device has changed its position. We explore the opportunity to use sophisticated PHY-layer measurements in wireless networking systems for location distinction. We first compare two existing location distinction methods - one based on channel gains of multi-tonal probes, and another on channel impulse response. Next, we combine the benefits of these two methods to develop a new link measurement that we call the complex temporal signature. We use a 2.4 GHz link measurement data set, obtained from CRAWDAD [10], to evaluate the three location distinction methods. We find that the complex temporal signature method performs significantly better compared to the existing methods. We also perform new measurements to understand and model the temporal behavior of link signatures over time. We integrate our model in our location distinction mechanism and significantly reduce the probability of false alarms due to temporal variations of link signatures. CY - San Francisco, California, USA SN - 978-1-60558-096-8 AD - New York, NY, USA EP - 37 TI - Advancing wireless link signatures for location distinction PB - ACM T2 - MobiCom '08: Proceedings of the 14th ACM international conference on Mobile computing and networking SP - 26 KW - crawdad KW - localisation KW - utah_cir AU - Zhang, Junxing AU - Firooz, Mohammad AU - Patwari, Neal AU - Kasera, Sneha PY - 2008/// UR - http://dx.doi.org/10.1145/1409944.1409949 ER -