Distributed multi-layer particle swarm optimization based cognitive network
US9053426B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2013 |
| Grant date | Jun 9, 2015 |
| Priority date | — |
| Expiry date | Nov 18, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/043
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System and methods for providing a cognitive network (300). Initialization parameters for distributed Multi-Objective Optimization (“MOO”) algorithms are generated based on project requirements. A Pareto Front (100) is determined for each protocol stack layer by solving the distributed MOO algorithms using the initialization parameters. The Pareto Fronts are analyzed in aggregate to develop best overall network solutions. The best overall network solutions are then ranked according to a pre-defined criteria. A top ranked solution is identified for the best overall network solutions that comply with current regulatory and project/mission policies. Subsequently, operations are performed to compute configuration parameters for protocols of the protocol stack layers that enable implementation of the top ranked solution within the cognitive network. Network resources of the protocol stack layers are then configured in accordance with the configuration parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.