Mixed distributed/centralized routing techniques based on closed-loop feedback from a learning machine to avoid dark zones
US9426040B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 27, 2014 |
| Grant date | Aug 23, 2016 |
| Priority date | — |
| Expiry date | Aug 30, 2034 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a routing topology of a network including nodes interconnected by communication links is determined, and activity in the network is monitored to determine a normal behavior of the communication links. Weak communication links in the network that deviate from the determined normal behavior are detected, and it is then determined whether the weak communication links are spatially correlated based on the determined topology of the network. In response to the weak communication links being spatially correlated, a region of the network affected by the weak communication links is identified as a dark zone that is to be avoided when routing data packets in the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.