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Accurately obtaining the position of mobile devices is critical to high-level applications. In indoor environments, localization approaches employing RF-based fingerprint matching is an active research area because it can reuse the existing communication infrastructure, as well as reduce the signal uncertainty to achieve better location accuracy. In this paper, we provide a theoretical analysis of...
Accurately positioning nodes in wireless and sensor networks is important because the location of sensors is a critical input to many higher-level networking tasks. However, the localization infrastructure can be subjected to non-cryptographic attacks, such as signal attenuation and amplification, that cannot be addressed by traditional security services. We propose several attack detection schemes...
We investigate the impact of landmark placement on localization performance using a combination of analytic and experimental analysis. For our analysis, we have derived an upper bound for the localization error of the linear least squares algorithm. This bound reflects the placement of landmarks as well as measurement errors at the landmarks. We next develop a novel algorithm, maxL minE, that using...
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