Name
Title | ||
|---|---|---|
A Belief Network Reasoning Framework For Fault Localization In Communication Networks |
Abstract | ||
|---|---|---|
A small fault in a large communication network may cause abrupt and large alarms, making the localization of the root cause of failure a difficult task. Traditionally, fault localization is carried out by an operator who uses alarms in alarm lists; however, fault localization process complexity needs to be addressed using more autonomous and intelligent approaches. Here, we present an overall framework that uses a message propagation mechanism of belief networks to address fault localization problems in communication networks. The proposed framework allows for knowledge storage, inference, and message transmission, and can identify a fault's root cause in an event-driven manner to improve the automation of the fault localization process. Avoiding the computational complexity of traditional Bayesian networks, we perform fault inference in polytrees with a noisy OR-gate model (PTNORgate), which can reduce computational complexity. We also offer a solution to store parameters in a network parameter table, similar to a routing table in communication networks, with the aim of facilitating the development of the algorithm. Case studies and a performance evaluation show that the solution is suitable for fault localization in communication networks in terms of speed and reliability. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/s20236950 | SENSORS |
Keywords | DocType | Volume |
fault localization, belief networks, message propagation, fault inference, communication networks | Journal | 20 |
Issue | ISSN | Citations |
23 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rongyu Liang | 1 | 0 | 0.34 |
| Feng Liu | 2 | 46 | 10.34 |
| Jie Liu | 3 | 0 | 0.34 |