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Research on Data Transmission Optimization Of Communication Network Based on Reliability Analysis
- Source :
- Informatica. 44
- Publication Year :
- 2020
- Publisher :
- Slovenian Association Informatika, 2020.
-
Abstract
- This paper briefly introduced the vehicular communication network, vehicular ad-hoc network (VANET), and the ant colony algorithm for path search in the network, improved the ant colony algorithm, carried out a simulation experiment on the improved ant colony algorithm on the simulation platform, and compared it with the traditional ant colony algorithm and the geographical location-based routing algorithm. The results showed that the network packet loss rate and time delay showed a tendency of increasing first and then decreasing under the three algorithms with the increase of vehicle nodes in VANET; with the increase of nodes, the network reliability under the improved ant colony algorithm showed a tendency of increasing first and then being stable, and the network reliability under the other two algorithms showed a tendency of increasing first and then decreasing; under the same number of nodes, the packet loss rate and average delay were lower, and the reliability was higher under the improved ant colony algorithm.
- Subjects :
- 0209 industrial biotechnology
Vehicular ad hoc network
Computer science
Network packet
business.industry
Ant colony optimization algorithms
Reliability (computer networking)
MathematicsofComputing_NUMERICALANALYSIS
02 engineering and technology
ComputingMethodologies_ARTIFICIALINTELLIGENCE
Telecommunications network
Computer Science Applications
Theoretical Computer Science
020901 industrial engineering & automation
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Path search
business
Software
Loss rate
Data transmission
Computer network
Subjects
Details
- ISSN :
- 18543871 and 03505596
- Volume :
- 44
- Database :
- OpenAIRE
- Journal :
- Informatica
- Accession number :
- edsair.doi...........91585cd3f7068af68abc63bcd1deca58
- Full Text :
- https://doi.org/10.31449/inf.v44i3.3280