Research and Comparison of Laser Radar Vehicle Self-organizing Network Routing Strategy

DOI

10.2991/cnci-19.2019.72How to use a DOI?

Keywords

Lidar communication, Vehicle self-organizing network, Routing, Ant colony algorithm

Abstract

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.

Copyright

© 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/).

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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  -