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Sensors 2009, 9(5), 3695-3712; doi:10.3390/s90503695

A Hybrid Stochastic Approach for Self-Location of Wireless Sensors in Indoor Environments

Departamento de Comunicaciones, Universidad Politécnica de Valencia. Camino Vera s/n, 46022, Valencia, Spain
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Received: 2 April 2009 / Revised: 4 May 2009 / Accepted: 14 May 2009 / Published: 15 May 2009
(This article belongs to the Special Issue Wireless Sensor Technologies and Applications)
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Abstract

Indoor location systems, especially those using wireless sensor networks, are used in many application areas. While the need for these systems is widely proven, there is a clear lack of accuracy. Many of the implemented applications have high errors in their location estimation because of the issues arising in the indoor environment. Two different approaches had been proposed using WLAN location systems: on the one hand, the so-called deductive methods take into account the physical properties of signal propagation. These systems require a propagation model, an environment map, and the position of the radio-stations. On the other hand, the so-called inductive methods require a previous training phase where the system learns the received signal strength (RSS) in each location. This phase can be very time consuming. This paper proposes a new stochastic approach which is based on a combination of deductive and inductive methods whereby wireless sensors could determine their positions using WLAN technology inside a floor of a building. Our goal is to reduce the training phase in an indoor environment, but, without an loss of precision. Finally, we compare the measurements taken using our proposed method in a real environment with the measurements taken by other developed systems. Comparisons between the proposed system and other hybrid methods are also provided. View Full-Text
Keywords: indoor location system; positioning system; WLANs indoor location system; positioning system; WLANs
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lloret, J.; Tomas, J.; Garcia, M.; Canovas, A. A Hybrid Stochastic Approach for Self-Location of Wireless Sensors in Indoor Environments. Sensors 2009, 9, 3695-3712.

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