Assessing the energy efficiency of localization in wireless sensor networks

Authors:
Dominik Lieckfeldt;Jiaxi You;Ralf Behnke;Jakob Salzmann;Dirk Timmermann
Affiliations:
Institute of Applied Microelectronics and Computer Engineering, University of Rostock, Rostock, Germany;Institute of Applied Microelectronics and Computer Engineering, University of Rostock, Rostock, Germany;Institute of Applied Microelectronics and Computer Engineering, University of Rostock, Rostock, Germany;Institute of Applied Microelectronics and Computer Engineering, University of Rostock, Rostock, Germany;Institute of Applied Microelectronics and Computer Engineering, University of Rostock, Rostock, Germany
Venue:
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Year:
2009

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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.