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Wireless sensor networks are increasingly important and active research topic because of their many practical uses. Localization problem in the wireless sensor networks is significant since the information collected without location is usually unusable. Often used approach to the localization problem is to post GPS receivers on a small number of anchor nodes and then to locate the other sensor nodes...
To provide a location-based service (LBS), it is needed to obtain an exact location of communication terminals in sensor networks. Because the signal of global positioning system (GPS) cannot be received indoors, a triangulation-based location estimation using ultra-wide band (UWB) signals between more than three reference terminals and the target node is widely used. In particular, a time of arrival...
This paper presents the application of least squares support vector regression (LS-SVR) with radial basis function (RBF) kernel in deriving orthometric height from GPS heights. First, identical survey points in both height systems of a D-order GPS network are picked up as the data set used in analysis. Second, LS-SVR is performed to model the height anomaly and then to convert GPS height to normal...
For many wireless sensor network applications, the localization of sensor nodes is an essential requirement. In this paper, a low cost localization system based on the measurements from a pedometer and communication ranging between neighboring nodes is presented. Unlike most of the existing methods that require good network connectivity, the proposed system works well in a sparse network. The localization...
In order to improve the precision of attitude operator in GPS attitude determination, based on Quantum-behaved Particle Swarm Optimization(QPSO) algorithm, a new GPS carrier phase searching technology of attitude determination is proposed. In favor of the ambiguity function methodpsilas fitness function, quantum behavior is introduced to enhance the ability of global searching to achieve the GPS fast...
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