A multistage approach to decision fusion using a distributed network of non-identical nodes

Gupta, K and Desai, U B and Merchant, S N (2016) A multistage approach to decision fusion using a distributed network of non-identical nodes. Signal Processing, 129. pp. 106-118. ISSN 0165-1684

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A distributed sensor network deployed to detect a binary event using a hard decision fusion scheme is considered. Earlier works show that the K-out-of-N counting rule is optimum in minimizing the total error rate when the sensor nodes participating in the event detection have identical performance indexes (detection and false-alarm probability pairs). In most scenarios, this optimum rule turns out to be the half-voting or majority rule. However, when the sensor nodes have non-identical performance indexes, the optimum value of K that gives the maximum correct decision probability may be anything from 1 to N and no general expression for it is available. Trying all possibilities before choosing the best value of K is computationally very demanding and the complexity grows rapidly as the number of sensor nodes increases, making it an impractical approach for a large sensor network. We propose a multistage decision fusion scheme for such networks using unanimity fusion rules and show that it gives an improved performance over unanimity, half-voting, majority, and some soft fusion rules and a comparable performance to the best K-out-of-N fusion rule in many cases with considerably reduced computational complexity in determining the global detection and false-alarm probabilities.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Article
Uncontrolled Keywords: K-out-of-N; Multistage decision fusion; Correct decision probability; Non-identical nodes
Subjects: Others > Electronic imaging & Singal processing
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 09 Jun 2016 10:20
Last Modified: 14 Sep 2016 07:10
URI: http://raiith.iith.ac.in/id/eprint/2446
Publisher URL: http://dx.doi.org/10.1016/j.sigpro.2016.06.003
OA policy: http://www.sherpa.ac.uk/romeo/issn/0165-1684/
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