Title :
Energy Efficient Location-Aware Networks
Author :
Shen, Yuan ; Win, Moe Z.
Author_Institution :
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA
Abstract :
Location-awareness is of pivotal importance in future wireless systems. In these networks, energy efficiency is a critical issue since it affects network lifetime, throughput, and interference. In this paper, we investigate optimization issues associated with anchor power allocation, anchor selection, and anchor deployment. In particular, we minimize the squared position error bound (SPEB), which characterizes the limits of localization accuracy. To gain insights into the localization problem, we use the eigen-analysis and propose a geometric interpretation of the localization information. This approach facilitates the derivation of optimal solutions and serves guidelines for the design of algorithms in energy efficient location-aware networks. Our numerical results show that significant improvement in localization performance can be achieved with optimal resource allocation.
Keywords :
eigenvalues and eigenfunctions; mobile computing; mobility management (mobile radio); resource allocation; wireless sensor networks; anchor power allocation; eigen-analysis; energy efficient location-aware networks; localization accuracy; network lifetime; optimal resource allocation; squared position error bound; wireless systems; Algorithm design and analysis; Communications Society; Energy efficiency; Global Positioning System; Guidelines; Interference; Position measurement; Throughput; Wideband; Wireless networks;
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
DOI :
10.1109/ICC.2008.564