Paper Info
Title
Energy-Efficient Boundary Detection for RF-Based Localization Systems
Abstract
Boundary detection is a form of location-aware services that aims at detecting targets crossing certain critical regions. Typically, a lower location sampling rate contributes to a lower level of energy consumption but, in the meantime, delays the detection of boundary crossing events. Opting to enable energy-efficient boundary detection services, we propose a mobility-aware mechanism that adapts the location sampling rate to the target mobility. Results from our simulations and live experiments confirm that the proposed adaptive sampling mechanism is effective. In particular, when experimented with realistic errors measured from a live radio-frequency-based localization system, the energy consumption can be reduced significantly to 20 percent.
Year
DOI
Venue
2009
10.1109/TMC.2008.84
IEEE Trans. Mob. Comput.
Keywords
Field
DocType
live experiment,power aware computing,indoor localization,energy-efficient boundary detection,target tracking,certain critical region,lower level,boundary detection,efficiency,lower location,location-aware services,radiofrequency identification,energy-efficient boundary detection service,location-aware service,target detection,target mobility,energy consumption,mobility-aware mechanism,rf-based localization systems,jwireless sensor networks,mobile computing,energy efficiency,live rf-based localization system,radio frequency,sampling methods,energy efficient,local system,sensor network
Mobile computing,Adaptive sampling,Efficient energy use,Edge detection,Computer science,Sampling (signal processing),Radio frequency,Real-time computing,Sampling (statistics),Energy consumption,Distributed computing,Embedded system
Journal
Volume
Issue
ISSN
8
1
1536-1233
Citations 
PageRank 
References 
7
0.54
26
Authors
4
Name
Order
Citations
PageRank
Tsung-Han Lin133021.00
Polly Huang288682.35
Hao-Hua Chu3116898.54
Chuang-wen You425434.68