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- Title
Design of cognitive algorithm based on data traffic control for underground accurate positioning system.
- Authors
Lijun Tang; Wei Wu
- Abstract
In the existing accurate positioning system, a large amount of positioning data are uploaded to the ground control center, which often cause link congestion for the positioning system. The link congestion further degrades the positioning performance like real-time and reliability. In order to overcome the above disadvantages about the existing accurate positioning system, a novel cognitive algorithm based on data traffic control is proposed to reduce data traffic and avoid link congestion for the positioning system. The algorithm uploads location data only when target nodes are in motion, and the control center uses V-T algorithm to predict the complete trajectory of the target nodes simultaneously. Finally the simulation results show that the proposed algorithm applying to the accurate positioning system for mine coal can greatly reduce data traffic and don't degrade the trajectory tracking performance.
- Subjects
TRAFFIC engineering; COAL mining; ALGORITHMS
- Publication
Metallurgical & Mining Industry, 2015, Issue 9, p615
- ISSN
2076-0507
- Publication type
Article