Cluster-Based Ranging for Accurate Localization in Wireless Sensor Networks

Joint Authors

Sergi, Simone
Pancaldi, Fabrizio
Vitetta, Giorgio M.

Source

International Journal of Navigation and Observation

Issue

Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2010-07-29

Country of Publication

Egypt

No. of Pages

11

Main Subjects

History and Geography

Abstract EN

A novel ranging technique based on received signal strength (RSS) and suitable to indoor scenarios is illustrated.

In the proposed technique, multiple power measurements, associated with the signals radiated by a cluster of nodes surrounding a given target, are jointly processed to improve the quality of RSS-based estimation of the distance between the target and an anchor.

Specific algorithms for the generation of a cluster and for the acquisition of power measurements are described.

Simulation results show that, when used in indoor positioning systems, the proposed ranging technique is substantially more accurate than noncooperative strategies.

In addition, it allows to concentrate significant processing tasks in a limited number of fixed anchors, so reducing maintenance costs and making it possible to adopt cheap and simple portable wireless nodes.

American Psychological Association (APA)

Sergi, Simone& Pancaldi, Fabrizio& Vitetta, Giorgio M.. 2010. Cluster-Based Ranging for Accurate Localization in Wireless Sensor Networks. International Journal of Navigation and Observation،Vol. 2010, no. 2010, pp.1-11.
https://search.emarefa.net/detail/BIM-473347

Modern Language Association (MLA)

Sergi, Simone…[et al.]. Cluster-Based Ranging for Accurate Localization in Wireless Sensor Networks. International Journal of Navigation and Observation No. 2010 (2010), pp.1-11.
https://search.emarefa.net/detail/BIM-473347

American Medical Association (AMA)

Sergi, Simone& Pancaldi, Fabrizio& Vitetta, Giorgio M.. Cluster-Based Ranging for Accurate Localization in Wireless Sensor Networks. International Journal of Navigation and Observation. 2010. Vol. 2010, no. 2010, pp.1-11.
https://search.emarefa.net/detail/BIM-473347

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-473347