Research and Comparison of Laser Radar Vehicle Self-organizing Network Routing Strategy
- 10.2991/cnci-19.2019.72How to use a DOI?
- Lidar communication, Vehicle self-organizing network, Routing, Ant colony algorithm
In this paper, an optimized and innovative routing strategy[1, 2] is proposed for the current poor quality of the laser radar vehicle self-organizing network communication. First, a plurality of users’ quality evaluation indicators is selected to establish a routing optimization mathematical model. Then, the mathematical model is solved, analyzed and improved by using the ant colony algorithm. Finally, the innovative optimized routing strategy is compared with the classic laser radar self-organizing network and gets more researches and analyses. The results show that the innovative optimized routing scheme proposed can establish an optimal node communication route quickly and easily, which can improve the communication quality effectively indeed both from theoretical research and simulation analysis.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhiqiang Kong AU - Dong Zhou AU - Yongxin Xu PY - 2019/05 DA - 2019/05 TI - Research and Comparison of Laser Radar Vehicle Self-organizing Network Routing Strategy BT - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019) PB - Atlantis Press SP - 521 EP - 525 SN - 2352-538X UR - https://doi.org/10.2991/cnci-19.2019.72 DO - 10.2991/cnci-19.2019.72 ID - Kong2019/05 ER -