Decision Fusion Supported by Correlated Auxiliary Data in Wireless Sensor Networks. (22nd December 2014)

• Record Type: Journal Article
• Authors: Bao, Yu; Miao, Xiexing; Zhang, Yanqun; Zhang, Aijuan
• Is Part Of: International journal of distributed sensor networks. Volume 10:Number 12(2014)
• Publication Date: 2014-12-22
• Subjects: Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1155/2014/319093
• Languages: English
• ISSNs: 1550-1329

Abstract

Leakage monitoring is different from sudden incident monitoring because most of the leakage cases involve a slow process that lasts for a long time. During this case monitoring, sensors suffer long exposure to erosion and may lead to errors in the measurement. An approach is proposed to make use of a soft-decision fusion approach according to the Neyman-Pearson criterion to accumulate auxiliary data from multiple sensors. The proposed method optimizes the soft-function and adjusts its range of sensors, which provide auxiliary data to improve the fusion center confidence for making a global decision. The new method encompasses the collection of useful data and weights and combines them according to the corresponding confidence level to make a global decision. In the simulation case of Rayleigh-distributed observations of leakage monitoring, it is proved that the proposed method has a good performance.