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.

Highlights

  • With the convenience of the wireless network, the Internet of things can connect different things anytime and anywhere to realize information interaction

  • 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

  • In the process of calculating the selection probability of the next-hop node of an ant by the ant colony algorithm described above, it takes into account the sharing of node energy efficiency so that the path can achieve the optimal energy efficiency, in the actual VANET, the premise of successful communication between nodes is that the nodes are connected, and the links between nodes may be broken as the vehicles acting as nodes are constantly changing in VANET

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Summary

Introduction

With the convenience of the wireless network, the Internet of things can connect different things anytime and anywhere to realize information interaction. If the quality of data transmission in the communication network is poor, packet loss will often occur, or the data throughput will be small, so that the Internet of things cannot effectively carry out information exchange. The utility of relay vehicles in the candidate set was confirmed by predicting the change of the signal to interference plus noise ratio of the receiving end and packet queue length, so as to determine the route. Through simulation, they found that the algorithm had better routing performance than SRPE, ExOR, and GPSR routing algorithms. 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

Vehicle communication network
Data transmission optimization algorithm
Ant colony algorithm
Improved ant colony algorithm
Experimental environment
Experimental parameters
Performance indicators
Experimental results
Conclusion
Full Text
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