標題: Distributed Detection of Dynamic Event Regions in Sensor Networks With a Gibbs Field Distribution and Gaussian Corrupted Measurements
作者: Wang, Tsang-Yi
Yang, Ming-Hsun
Wu, Jwo-Yuh
電機學院
College of Electrical and Computer Engineering
關鍵字: Cooperative fusion;change detection;event-region detection;dynamic event;Markov random field
公開日期: 九月-2016
摘要: Various methods have been proposed for monitoring continuously varying event-region scenarios using wireless sensor networks (WSNs). However, these methods use 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 real-value data exchange takes place among the sensors. By contrast, this paper proposes a two-phase distributed dynamic event-region detection scheme for WSNs characterized by a space-time Markov random field with a particular Gibbs distribution. In Phase I of the proposed scheme, each sensor makes an initial decision in accordance with its current Gaussian corrupted observation and previous decision. In Phase II, the nodes update their decisions based on the decision information received from their neighbors. Notably, the proposed scheme has a low-communication-rate characteristic, and is thus ideally suited to WSN applications. The performance of the proposed scheme is compared with that of a semicentralized detection scheme by means of computer simulations.
URI: http://dx.doi.org/10.1109/TCOMM.2016.2593467
http://hdl.handle.net/11536/134255
ISSN: 0090-6778
DOI: 10.1109/TCOMM.2016.2593467
期刊: IEEE TRANSACTIONS ON COMMUNICATIONS
Volume: 64
Issue: 9
起始頁: 3932
結束頁: 3945
顯示於類別:期刊論文