@inproceedings{37d7098a3914456abd74fe2c74a4cc6b,
title = "A space-time fusion scheme for dynamic-event region detection in sensor networks",
abstract = "Collaborative detection for continuously-varying event-region scenarios using wireless sensor networks (WSNs) has attracted much attention recently. However, most existing works adopt either a centralized approach, in which a powerful control center is used to reconstruct the entire random field, or a semi-centralized approach, in which extensive data exchange takes place among the sensors by means of real-value data communications. By contrast, the present study proposes a distributed dynamic event-region detection scheme for WSNs. The proposed scheme is based on a two-phase cooperative spacetime decision fusion protocol. In Phase I, each sensor makes an initial decision in accordance with its Gaussian corrupted observation and previous decision. In Phase II, the nodes update their decisions in accordance with the decision information received from their neighboring nodes. The performance of the proposed scheme is compared with that of a semi-centralized detection scheme by means of computer simulations.",
keywords = "Decision fusion, Dynamic event, Event-region detection, Markov random field, Spacetime",
author = "Wang, {Tsang Yi} and Yang, {Ming Hsun} and Wu, {Jwo Yuh}",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/VTCFall.2016.7880882",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings",
address = "United States",
note = "null ; Conference date: 18-09-2016 Through 21-09-2016",
}