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Techniques to compensate propagation impairments for greater accuracy in localization for sensors in indoor environments.
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1  Tecnologico de Monterrey, School of Engineering and Sciences


Position location estimation in sensor networks is a valuable supplement since it supports the deployment of location-based services. Sensor networks have changing conditions in the environment due to propagation issues, noise and placement of sensors, which represent challenges that position location algorithms must deal with. Accuracy of the location estimation technique is relevant since it allows minimizing positioning error. In indoor environments, propagation issues such as multipath signals, affect adversely the precision of the positioning algorithm. Also, the use of parameters such as time of arrival has a trade-off between the small distances that the signals traverse and the precision of the hardware used to capture such measurements. In this paper, we use received signal strength indicator (RSSI) to estimate the coordinates of individual sensors in an area of study. The RSSI parameter is measured and processed by a set of reference nodes installed in the area. We show that performance of the location estimation algorithm needs additional techniques to obtain improved accuracy rate. We develop additional techniques based on the use of polynomial interpolation and spline functions to balance propagation issues. These techniques help us to implement correcting factors that are used in the propagation model to compensate the RSSI measurements. We use these techniques to show how the positioning error is reduced in the area of study with simulations and measurements using sensors.

Keywords: position location, sensor networks, wireless propagation
Comments on this paper
Abhijeet Ravankar
Question about localization.
I find your approach very interesting. I work on localizing robots in a building (see my paper D008). Can you suggest if I can use your method to localize robots? What devices do I need to use? And is it possible to distinguish 2 robots (targets) using the method. Thanks in advance.

Guillermo Robles
Sensor array
Very interesting discussion. We are also using cubic splines to improve the localization accuracy in another field in which the source emits pulses in the UHF band. Our work presented in this conference, [E003] The influence of antenna positioning errors on the radio-frequency localization of partial discharges sources, deals with the propagation of errors in the positions of the sensors and how they affect to the estimation of the position of the source. Instead of using RSS, we use multilateration techiques based on time differences of arrival.