Title
Optimisations for LocSens – an indoor location tracking system using wireless sensors
Abstract
Ubiquitous and pervasive computing envisions context-aware systems that gather real-world information from many fixed and mobile microchips and sensors integrated in everyday objects. To provide valuable services, it is necessary to estimate the location of users or objects. Outdoor location tracking is achieved by Global Positioning System (GPS), but due to its poor indoor coverage, there is a need for alternative technologies in buildings. Since multiple wireless sensors may be situated in the environment, they can be used for location estimation and tracking. This paper presents LocSens, a cost-effective location tracking system based on sensor nodes with wireless connectivity. LocSens works with a minimum number of sensor nodes. It is established and tested in a real indoor scenario over multiple rooms. LocSens could be improved by optimising algorithms and using more precise sensor boards. Results confirm gained accuracy in location estimation and tracking of moving objects.
Year
DOI
Venue
2009
10.1504/IJSNET.2009.029392
IJSNET
Keywords
Field
DocType
nos. 3/4,location estimation,n. 2009 'optimisations for locsens,poor indoor coverage,pp.157-166.,int. j. sensor networks,an indoor location tracking system using wireless sensors',ungerer,f.,pervasive computing,t. and bagherzadeh,multiple wireless sensor,kluge,real indoor scenario,sensor node,wireless sensor network,ubiquitous computing,indoor location tracking. reference to this paper should be made as follows: bagci,vol. 6,outdoor location tracking,multiple room,precise sensor board,indoor location tracking system,cost-effective location tracking system,indoor location estimation,wireless connectivity,sensor network,wireless sensor networks,wireless networks,cost effectiveness
Mobile computing,Wireless network,Hybrid positioning system,Computer science,Sensor array,Tracking system,Real-time computing,Global Positioning System,Ubiquitous computing,Wireless sensor network,Distributed computing,Embedded system
Journal
Volume
Issue
ISSN
6
3/4
1748-1279
Citations 
PageRank 
References 
6
0.44
6
Authors
4
Name
Order
Citations
PageRank
Faruk Bagci113815.22
F. Kluge2321.61
T. Ungerer3878.37
Bagherzadeh, N.421524.07