Publication detail

Investigation of radio channel uncertainty in distance estimation in wireless sensor networks

MORÁVEK, P. KOMOSNÝ, D. ŠIMEK, M. JELÍNEK, M. GIRBAU, D. LÁZARO, A.

Original Title

Investigation of radio channel uncertainty in distance estimation in wireless sensor networks

English Title

Investigation of radio channel uncertainty in distance estimation in wireless sensor networks

Type

journal article - other

Language

en

Original Abstract

The distance estimation between nodes is a crucial requirement for localization and object tracking. Received signal strength (RSS) measurement is one of the used methods for the distance estimation in wireless networks. Its main advantage is that there are no additional hardware requirements. This paper describes a lateration approach for localization and distance estimation using RSS. For the purpose of investigation of RSS uncertainty, several scenarios were designed for both indoor and outdoor measurements. The first set of RSS measurement scenarios was proposed with the intention of hardware independent investigation of radio channel. For the second set of measurements, we employed IRIS sensor nodes to evaluate the distance estimation with certain devices. The experiments considered also obstacles in the radio channel. The results obtained in the proposed scenarios present usability of the method under different conditions. There is also a signal propagation model constructed from measured data at a node, which subsequently serves for distance determination.

English abstract

The distance estimation between nodes is a crucial requirement for localization and object tracking. Received signal strength (RSS) measurement is one of the used methods for the distance estimation in wireless networks. Its main advantage is that there are no additional hardware requirements. This paper describes a lateration approach for localization and distance estimation using RSS. For the purpose of investigation of RSS uncertainty, several scenarios were designed for both indoor and outdoor measurements. The first set of RSS measurement scenarios was proposed with the intention of hardware independent investigation of radio channel. For the second set of measurements, we employed IRIS sensor nodes to evaluate the distance estimation with certain devices. The experiments considered also obstacles in the radio channel. The results obtained in the proposed scenarios present usability of the method under different conditions. There is also a signal propagation model constructed from measured data at a node, which subsequently serves for distance determination.

Keywords

Wireless sensor networks, localization, distance estimation, RSS, uncertainty, measurement

RIV year

2011

Released

01.01.2013

ISBN

1018-4864

Periodical

TELECOMMUNICATION SYSTEMS

Year of study

2011

Number

47

State

NL

Pages from

1

Pages to

10

Pages count

10

Documents

BibTex


@article{BUT50797,
  author="Patrik {Morávek} and Dan {Komosný} and Milan {Šimek} and Mojmír {Jelínek} and David {Girbau} and Antonio {Lázaro}",
  title="Investigation of radio channel uncertainty in distance estimation in wireless sensor networks",
  annote="The distance estimation between nodes is a crucial requirement for localization and object tracking. Received signal strength (RSS) measurement is one of the used methods for the distance estimation in wireless networks. Its
main advantage is that there are no additional hardware requirements. This paper describes a lateration approach for localization and distance estimation using RSS. For the purpose of investigation of RSS uncertainty, several scenarios were designed for both indoor and outdoor measurements. The first set of RSS measurement scenarios was proposed with the intention of hardware independent investigation of radio channel. For the second set of measurements, we employed IRIS sensor nodes to evaluate the distance estimation with certain devices. The experiments considered also obstacles in the radio channel. The results obtained in the proposed scenarios present usability of the method under different conditions. There is also a signal propagation model constructed from measured data at a node, which subsequently serves for distance determination.",
  chapter="50797",
  journal="Telecommunication Systems",
  number="47",
  volume="2011",
  year="2013",
  month="january",
  pages="1--10",
  type="journal article - other"
}