Paper Info
Title
A management framework for device-free localization
Abstract
Received signal strength based device-free localization (RSS-based DFL) is recently gaining momentum as an indoor localization technology, since it enables locating people that are not cooperating with the system by carrying a device. The technology is based on monitoring the signal strength measurements of the many wireless transceivers that are deployed in the monitored area. The measurement modality can be used to accurately localize people and recent works have shown that it can be used e.g. in residential monitoring. Despite the recent advances in enhancing the accuracy of RSS-based DFL, real-world requirements such as energy efficiency and adaptation to the changing communication conditions are often neglected in the related literature. In this paper we present a management framework for RSS-based DFL which enables not only monitoring the environment and network, but to also interact with the dynamic environment and varying wireless channel. With the proposed framework, it is possible to make a considerable step forward so that RSS-based DFL can be used in long-term and real-world deployments.
Year
DOI
Venue
2013
10.1109/IJCNN.2013.6707131
Neural Networks
Keywords
Field
DocType
indoor communication,radio transceivers,wireless channels,RSS-based DFL,device-free localization,indoor localization technology,people localization,received signal strength,signal strength measurements,varying wireless channel,wireless transceivers
Wireless,Telecommunications,Device free localization,Computer science,Wireless transceivers,Real-time computing,Artificial intelligence,Signal strength,Efficient energy use,Communication channel,Wi-Fi array,RSS,Machine learning
Conference
ISSN
ISBN
Citations 
2161-4393
978-1-4673-6128-6
6
PageRank 
References 
Authors
0.48
16
3
Name
Order
Citations
PageRank
Hüseyin Yigitler17410.20
Ossi Kaltiokallio222114.41
Riku Jäntti377392.13