Position information is a fundamental element in WSN. As one of the range-free localization algorithm, the DV-Hop (Distance Vector-Hop) is widely applied. The DV-Hop localization algorithm employs the physical distance between the anchor nodes to estimate the average hop distance, instead of the actual transmission distance. The distance gap between the two kinds of distance undoubtedly leads t...

Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-aware localization that adapts the sampling rate to target's mobility level. In this paper, an energy-aware adaptive localization system based on signal strength fingerprinting is designed, implemented, and evaluated. ...

BACKGROUND Wireless video capsule endoscopy allows the noninvasive visualization of the small intestine. Currently, capsules do not provide localization information while traversing the GI tract. OBJECTIVE To report on the radiological validation of 3-dimensional localization software incorporated in a newly developed capsule. By using radiofrequency transmission, the software measures the st...

OBJECTIVES : One purpose of this investigation was to evaluate the effect of a unilateral bone-anchored hearing aid (Baha) on horizontal plane localization performance in single-sided deaf adults who had either a conductive or sensorineural hearing loss in their impaired ear. The use of a 33-loudspeaker array allowed for a finer response measure than has previously been used to investigate loca...

In this paper, we address a wireless sensor network localization problem that has high reliability in an environment where physical node destruction is possible. We propose a range-independent localization algorithm called Two-Step Filtrate Localization (TSFL), that allows sensors to passively determine their location with high reliability, without increasing the number of reference points, or ...

Independent Component Analysis (ICA) is a frequently used preprocessing step in source localization of MEG and EEG data. By decomposing the measured data into maximally independent components (ICs), estimates of the time course and the topographies of neural sources are obtained. In this paper, we show that when using estimated source topographies for localization, correlations between neural s...