Exploiting temporal stability and low-rank structure for localization in mobile networks

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Title: Exploiting temporal stability and low-rank structure for localization in mobile networks
Author: Rallapalli, Swati
Abstract: Localization is a fundamental operation for many wireless networks . While GPS is widely used for location determination , it is unavailable in many environments either due to its high cost or the lack of line of sight to the satellites (e .g . , indoors , under the ground , or in a downtown canyon ) . The limitations of GPS have motivated researchers to develop many localization schemes to infer locations based on measured wireless signals . However , most of these existing schemes focus on localization in static wireless networks . As many wireless networks are mobile (e .g . , mobile sensor networks , disaster recovery networks , and vehicular networks ) , we focus on localization in mobile networks in this thesis . We analyze real mobility traces and find that they exhibit temporal stability and low -rank structure . Motivated by this observation , we develop three novel localization schemes to accurately determine locations in mobile networks : 1 . Low Rank based Localization (LRL ) , which exploits the low -rank structure in mobility . 2 . Temporal Stability based Localization (TSL ) , which leverages the temporal stability . 3 . Temporal Stability and Low Rank based Localization (TSLRL ) , which incorporates both the temporal stability and the low -rank structure . These localization schemes are general and can leverage either mere connectivity (i .e . , range -free localization ) or distance estimation between neighbors (i .e . , range -based localization ) . Using extensive simulations and testbed experiments , we show that our new schemes significantly outperform state -of -the -art localization schemes under a wide range of scenarios and are robust to measurement errors .
URI: http : / /hdl .handle .net /2152 /ETD -UT -2010 -08 -1794
Date: 2010-12-20

Citation

Exploiting temporal stability and low-rank structure for localization in mobile networks. Master's thesis, University of Texas at Austin. Available electronically from http : / /hdl .handle .net /2152 /ETD -UT -2010 -08 -1794 .

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