Paper Info
Title
Localising Agents In Multiple-Occupant Intelligent Environments
Abstract
In this paper, tagging techniques are employed to identify monitored inhabitants in smart environments. The aim of the work is to recognise the presence of tagged inhabitants in different areas of the environment. RSSI-based wireless localising sensory agents are used in separate areas to measure the distance of the tagged persons from the reader agents. Then, clustering methods are applied to the radio signal strength from the reader agents to find the data cluster of each area representing the occupied area by the tagged inhabitants. In this paper two different technologies including active RFID and ZigBee wireless technology are compared in distance-based measurements and an area-based experiment. It is shown that despite the existing uncertainty in radio signal strength, deploying multiple reader agents and applying a regional clustering can substantially reduce the uncertainty for area occupancy detection purpose.
Year
DOI
Venue
2010
10.1109/FUZZY.2010.5584379
2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010)
Keywords
Field
DocType
data cluster,smart environments,mobile communication,smart environment,wireless communication,wireless sensor networks,data clustering
Radio signal strength,Wireless,Computer science,Real-time computing,Occupancy,Artificial intelligence,Cluster analysis,Smart environment,Data cluster,Wireless sensor network,Machine learning,Mobile telephony,Embedded system
Conference
ISSN
Citations 
PageRank 
1098-7584
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
M. Javad Akhlaghinia1101.37
Lofti A. Zadeh2145273847.07
Caroline S. Langensiepen33514.29