Combining scalability and resource awareness in Wireless Sensor Network localization

Author

Behnke, Ralf ; Born, Alexander ; Salzmann, Jakob ; Timmermann, Dirk ; Bill, Ralf

Author_Institution

Inst. of Appl. Microelectron. & Comput. Eng., Univ. of Rostock, Rostock, Germany

fYear

2011

fDate

10-15 April 2011

Firstpage

531

Lastpage

536

Abstract

Wireless Sensor Networks (WSNs) have been shown to be most suitable for monitoring large and possibly inaccessible areas. To assign measured values to certain positions as well as for complex network algorithms, localization represents a required basic capability. By splitting a costly localization calculation into precalculation and postcalculation, Distributed Least Squares (DLS) has been introduced as an efficient approach of fine grained localization.

Keywords

complex networks; least squares approximations; sensor placement; wireless channels; wireless sensor networks; WSN simulator; complex network algorithm; idealistic simulation; laboratory condition; linearization approach; real world channel model; resource aware localization algorithm; sDLS; scalability awareness; scalable RAL; scalable distributed least square; wireless sensor network localization calculation; Accuracy; Approximation methods; Equations; Estimation; Mathematical model; Robot sensing systems; Wireless sensor networks; localization; scalability; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4577-0249-5

Electronic_ISBN

978-1-4577-0248-8

Type

conf

DOI

10.1109/INFCOMW.2011.5928871

Filename

5928871