@inproceedings{e638e4bdfbce4809a42241b725e318e1,
title = "Poster Abstract: Node Deployment Mechanism for Quick, Indoor, and Device-Free Localization",
abstract = "Radio frequency based device-free passive localization has been actively studied. An important issue with this technique is that a large amount of sensor nodes are usually deployed in localization environments, causing high deployment cost, high computation complexity and other drawbacks. To reduce the number of nodes while maintaining high localization accuracy, this paper proposes a fingerprint-based node deployment mechanism, which saves hardware cost, speeds up node deployment process as well as maintains a similar accuracy. The experiments are conducted in two environments with considerably different sizes of 150 m2 and 25 m2. Maintaining the accuracies above 95%, the proposed mechanism can efficiently reduce the total number of nodes in large room by 54.55% and in small room by 68.75%. Especially, the localization response time sharply reduces by 93.08% in the large room and 79.87% in the small room.",
keywords = "device-free passive localization, localization response time, node deployment, wireless sensor networks",
author = "Jinjun Liu and Ning An and Hassan, {Md Tanbir} and Guilin Chen and Yanyong Zhang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016 ; Conference date: 11-04-2016 Through 14-04-2016",
year = "2016",
month = apr,
day = "26",
doi = "10.1109/IPSN.2016.7460709",
language = "English (US)",
series = "2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016 - Proceedings",
address = "United States",
}