Assessing the Energy Efficiency of Localization in Wireless Sensor Networks

Author

Lieckfeldt, Dominik ; You, Jiaxi ; Behnke, Ralf ; Salzmann, Jakob ; Timmermann, Dirk

Author_Institution

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

fYear

2009

fDate

10-13 Jan. 2009

Firstpage

1

Lastpage

2

Abstract

We propose a measure to characterize the energy efficiency of algorithms for localization in wireless networks. The measure presented differs from previous approaches in that it is bounded and supports objective comparison. Furthermore, it corresponds to the general understanding that a high value should indicate high efficiency. Simulation results for localization using maximum likelihood estimation (MLE), for least squares estimation (LS) and for multidimensional scaling (MDS) are briefly discussed.

Keywords

least squares approximations; maximum likelihood estimation; wireless sensor networks; MLE; energy efficiency; least squares estimation; localization algorithms; maximum likelihood estimation; multidimensional scaling; wireless sensor networks; Computer networks; Energy consumption; Energy efficiency; Energy measurement; Maximum likelihood estimation; Microelectronics; Sensor phenomena and characterization; Signal processing algorithms; Wireless communication; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4244-2308-8

Electronic_ISBN

978-1-4244-2309-5

Type

conf

DOI

10.1109/CCNC.2009.4784932

Filename

4784932