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Mobile station (MS) localization which plays an important role in the Wireless Sensor Networks (WSNs) has received considerable attention. In this paper, a new framework based on subspace approach for positioning a MS at WSNs localization system with the use of time-of-arrival (TOA) measurements is introduced. Unlike ordinary multidimensional scaling (MDS) algorithm using eigendcomposition or inverse...
In this paper, a novel complex multidimensional scaling (MDS) method is proposed for mobile location in wireless networks. Simulations are included to contrast the estimator performance with conventional MDS algorithms as well as the Cram'er-Rao lower bound (CRLB).
In this paper, a novel multidimensional scaling (MDS) method based on arrival of angular (AOA) measurements is proposed for passive emitter location in wireless networks. Simulations are included to contrast the estimator performance with conventional MDS algorithm and least square algorithm designed for AOA measurements.
Two novel cooperative localization algorithms for mobile wireless networks are proposed. To continuously localize the mobile network, given the pairwise distance measurements between different wireless sensor nodes, we propose to use subspace tracking to track the variations in signal eigenvectors and corresponding eigenvalues of the double-centered distance matrix. We compare the computational complexity...
This paper presents a novel technique for multi-hop localization by using mobility (MLM) in mixed line-of-sight/non-line-of-sight (LOS/NLOS) environments. In MLM, nodes equipped with ultra-wideband (UWB) radio first move randomly for collecting time-of-arrival (TOA) measurements and then apply a modified biased Kalman filter (MBKF) designed for mitigating NLOS errors. NLOS bias in the measurements...
Localization is essential in wireless sensor networks to handle the reporting of events from sensor nodes. For 3-D applications, we propose a mobile beacon-based localization using classical multidimensional scaling (MBL-MDS) by taking full advantage of MDS with connectivity and measurements. To further improve location performance, MBL-MDS adopts a selection rule to choose useful reference points,...
Sensory systems for localization and mapping based on ranging allows to obtain not only the position of a mobile object but also the position of the beacons or landmarks. Using only ranging, the beacon positions are often calculated without needing to compute all the spatial relations among them. In this work, a preliminary study about the use of relative positioning algorithm to obtain a map of active...
This paper proposes a localization algorithm that can be used to track and locate multiple mobile subjects in a wireless ad hoc network. An algorithm called adaptive dynamic localization is proposed. It is based on a dynamic multidimensional scaling (DMDS) method which reduces the localization error by adding virtual nodes till the network turns adequately dense and connected. The shortcomings which...
In this paper, we define a mobile self-localization (MSL) problem for sparse mobile sensor networks, and propose an algorithm named mobility assisted MDS-MAP(P), based on multi-dimensional scaling (MDS) for solving the problem. For sparse sensor networks, all the existing localization algorithms fail to work properly due to the lack of distance or connectivity data to uniquely calculate the geo-locations...
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