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Estimating the location of sensor nodes in wireless sensor networks is a fundamental requirement in a variety of sensing applications. In large scale dense deployments where the area covered by sensor nodes is very large, it is impossible to localize all sensor nodes using single-hop localization techniques. A solution to this problem is to use a multi-hop localization technique to estimate sensor...
In this study, IMU (inertial measurement unit) using the principle of dead reckoning and instead of GPS (global positioning system), a digital compass and encoder signals were blended by using a Kalman filter. Firstly, a mathematical model was established. After that, the mathematical model was turned into software via MATLAB-Simulink. In order to mount the sensors, an unmanned land vehicle prototype...
Knowing the position of sensor nodes in an environmental monitoring is useful to identify the location of events. However deploying GPS receivers or other anchor sensors is expensive, since the role of anchor nodes ends after localizing sensor nodes' positions and they are transferred into ordinary sensor nodes. In this paper, we introduce a new localization scheme for a wireless sensor network that...
The localization of mobile robot is an important part of control problem. Pseudolite Ultrasonic System (PUS) is the method to find an absolute position by using ultrasonic sensor. PUS can be able to estimate the position of mobile robot precisely, in which errors are not accumulated. PUS insure a high accuracy on static state. But mobile robot moves as fast as an estimated position errors are increased...
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