DocumentCode
431980
Title
Multimodal wireless networks: distributed surveillance with multiple nodes
Author
Safar, Zoltan ; Sørensen, John Aa ; Chen, Jianjun ; Kristoffersen, Kåre J.
Author_Institution
Dept. of Innovation, Copenhagen Univ., Denmark
Volume
4
fYear
2005
fDate
18-23 March 2005
Abstract
Multimodal wireless networks are wireless networks that offer multiple functionalities realized on the same infrastructure. In this paper, we consider a multimodal network that has two modes of operation: the communication mode, when the network is used as a traditional wireless communication network, and the surveillance mode, when the network is used as a distributed sensor network that can detect illegal intrusion by detecting changes in the propagation environment caused by the intruder. We address the problem of distributed surveillance in a network consisting of multiple nodes: we develop a multi-sensor model for the received signal parameters of interest and derive a detector capable of detecting changes in these parameters. The experimental results demonstrate that combining the information from different nodes with the appropriate fusion function results in considerably improved detection performance compared to that of single-node detectors.
Keywords
sensor fusion; surveillance; telecommunication security; wireless sensor networks; communication mode; detection performance; distributed sensor network; distributed surveillance; fusion function; illegal intrusion detection; multi-sensor model; multimodal wireless networks; multiple nodes; propagation environment changes; wireless communication network; Detectors; Humans; Intrusion detection; Multimodal sensors; Security; Surveillance; Wireless LAN; Wireless communication; Wireless networks; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416143
Filename
1416143
Link To Document