decentralized diagnosis
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Author(s):  
Nethravathi B ◽  
Kamalesh V N

<p>The rapid continuous growth of communication networks in size, complexity and dependencies, makes them extremely challenging to maintain the survivability of the complete large network.  The complexity may be due to advance voice and video services like IP TVs, IP telephony, video streaming which demands high reliability and survivability. Network management has become a great challenge as Faults are expected only in these complex networks. Once a failure is detected, the next step in the diagnosis is fault isolation which locates the source of that failure. The necessitate of decentralized diagnosis is justified by various applications, like spacecrafts.  This article presents model based fault isolation technique using a graph theoretical concepts, regions and paths for decentralized communication networks.</p>


2019 ◽  
Vol 98 ◽  
pp. 249-258 ◽  
Author(s):  
Othman Nasri ◽  
Nadhir Mansour Ben Lakhal ◽  
Lounis Adouane ◽  
Jaleleddine Ben Hadj Slama

2019 ◽  
Author(s):  
Marcos Vinicius Silva Alves ◽  
Raphael J. Barcelos ◽  
Lilian Kawakami Carvalho ◽  
Joao Carlos Basilio

2018 ◽  
Vol 48 (10) ◽  
pp. 1689-1700 ◽  
Author(s):  
Xuya Cong ◽  
Maria Pia Fanti ◽  
Agostino Marcello Mangini ◽  
Zhiwu Li

10.29007/k5c7 ◽  
2018 ◽  
Author(s):  
Ahmed Khoumsi

Decentralized diagnosis of discrete event systems consists in detecting faults in discrete event systems by using decentralized architectures. In particular, inference-based diagnosis is a decentralized architecture of interest, since it is more general than several other decentralized architectures. In this paper, we first propose a method that realizes a diagnosis objective D by an arborescent architecture (or tree). Each leaf of the tree is a decentralized diagnosis, and each node n is a disjunction or con- junction of the diagnosis decisions of the two children of n. Then, we show that if inference-based diagnosis is applicable to D, then all the leafs of the obtained tree are basic decentralized diagnosers. This implies that every inference-based diagnosis is realizable by a combination of basic decentralized diagnosers.


2018 ◽  
Vol 51 (24) ◽  
pp. 168-175 ◽  
Author(s):  
C.G. Pérez-Zuñiga ◽  
E. Chanthery ◽  
L. Travé-Massuyès ◽  
J. Sotomayor ◽  
C. Artigues

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