Path loss exponent estimation for wireless sensor network localization

The wireless received signal strength (RSS) based localization techniques have attracted significant research interest for their simplicity. The RSS based localization techniques can be divided into two categories: the distance estimation based and the RSS profiling based techniques. The path loss e...

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Bibliographic Details
Published in:Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2007-07, Vol.51 (10), p.2467-2483
Main Authors: Mao, Guoqiang, Anderson, Brian D.O., Fidan, Barış
Format: Article
Language:English
Subjects:
Applied sciences
Calibration
Cayley–Menger determinant
Data fusion
Estimating techniques
Exact sciences and technology
Localization
Measurement
Miscellaneous
Path loss exponent
Sensor network
Sensors
Services and terminals of telecommunications
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telemetry. Remote supervision. Telewarning. Remote control
Teleprocessing networks. Isdn
Transmission and modulation (techniques and equipments)
Wireless networks
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Summary:The wireless received signal strength (RSS) based localization techniques have attracted significant research interest for their simplicity. The RSS based localization techniques can be divided into two categories: the distance estimation based and the RSS profiling based techniques. The path loss exponent (PLE) is a key parameter in the distance estimation based localization algorithms, where distance is estimated from the RSS. The PLE measures the rate at which the RSS decreases with distance, and its value depends on the specific propagation environment. Existing techniques on PLE estimation rely on both RSS measurements and distance measurements in the same environment to calibrate the PLE. However, distance measurements can be difficult and expensive to obtain in some environments. In this paper we propose several techniques for online calibration of the PLE in wireless sensor networks without relying on distance measurements. We demonstrate that it is possible to estimate the PLE using only power measurements and the geometric constraints associated with planarity in a wireless sensor network. This may have a significant impact on distance-based wireless sensor network localization.
ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2006.11.007