The decision fusion in the wireless network with possible transmission errors
type: Item
instance of: scholarly article
title: The decision fusion in the wireless network with possible transmission errors
zbMATH Open document ID: 1270.94012
author: Yifan Xia
author: Fang Wang
author: Wen-Shuenn Deng
published in: Information Sciences
publication date: 2012-10-17T00:00:00Z
review text: The paper deals with data fusion problems in wireless sensor networks. In such networks data are gathered from distributed agents and are processed collectively at a fusion center. The main goal of the paper is to formulate and partly investigate the fault-tolerant fusion decision model, assuming erroneous channels. The authors propose a Bayesian approach to decision fusion and develop methods allowing them to achieve fault-tolerant decisions. They concentrate on the decentralized fusion problem in the presence of channel transmission errors, considering channels prone to fading effects. They generalize \textit{B. Chen} and \textit{P. K. Willett}'s [IEEE Trans. Inf. Theory 51, No. 2, 693--699 (2005; Zbl 1270.94008)]. The authors consider a parallel sensor network which makes decisions, denoted by H0 and H1, respectively, about the presence or absence of a phenomenon of interest. The sensors compress their observations to 0 in the case of H0, and 1 in the case of H1, and send them through a channel to the fusion center, where the final decision, based on \(l\) local sensors' transmissions, is taken according to a given rule. The authors assume that the appropriate conditional probability density functions are known. They consider and solve a two-sensor bi-decision problem under AND as well as OR fusion rules, using Bayesian cost as the criterion function and looking for conditions minimizing this cost. Next, the considerations are generalized to a multiple-bit \(m\)-ary decision problem. The authors show necessary conditions for optimal sensor compression rules that allow them to use these rules for designing iterative algorithms for specific (e.g., AND/OR) sensor rules. Both independent and correlated transmission bits are considered, relative to whether they are transmitted over the same or different transmission channels. Next, the authors provide some numerical results using receiver operating characteristics, and show the performance of their algorithms. Finally…
reviewed by: Józef Woźniak
Mathematics Subject Classification ID: 94A05
Mathematics Subject Classification ID: 94A40
Mathematics Subject Classification ID: 68P30
Mathematics Subject Classification ID: 62C10
zbMATH DE Number: 6094592
zbMATH Keywords: wireless sensor networks
zbMATH Keywords: communication theory
zbMATH Keywords: channel models
zbMATH Keywords: channel fading
zbMATH Keywords: decision fusion
zbMATH Keywords: Bayesian cost
zbMATH Keywords: optimal compression
zbMATH Keywords: likelihood ratio test method
zbMATH Keywords: data fusuion
zbMATH Keywords: fault-tolerant decisions
MaRDI profile type: Publication
full work available at URL: j.ins.2012.02.044
OpenAlex ID: W1977799220
cites work: Distributed detection for diversity reception of fading signals in noise
cites work: On the Optimality of the Likelihood-Ratio Test for Local Sensor Decision Rules in the Presence of Nonideal Channels
cites work: Channel Aware Decision Fusion in Wireless Sensor Networks
cites work: Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks
cites work: Decentralized adaptive output-feedback control for a class of nonlinear large-scale systems with unknown time-varying delayed interactions
cites work: Unexpected properties and optimum-distributed sensor detectors for dependent observation cases
DOI: 10.1016/J.INS.2012.02.044
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description: scientific article; zbMATH DE number 6094592