Impact of mobility models on UAV delay tolerance network

Chunguo Fei; Na Feng

doi:10.1117/12.2678971

15 May 2023 Impact of mobility models on UAV delay tolerance network

Chunguo Fei, Na Feng

Proceedings Volume 12699, Third International Conference on Sensors and Information Technology (ICSI 2023); 126990S (2023) https://doi.org/10.1117/12.2678971
Event: International Conference on Sensors and Information Technology (ICSI 2023), 2023, Xiamen, China

Abstract

For the characteristics of high mobility and dynamic topology of UAVs, it is important to select a suitable mobility model for DTN’s performance. In this scenario, the Shortest Path Map Based (SPMB) Movement based on the UAV DTN is proposed. The background of DTN and the motion modes of RWP, GM and SPMB are described. In ONE simulator, controlling other variables unchanged, and the above three mobile models are used to simulate the UAV network nodes in the Spray-and-Wait routing algorithm. The results indicate that compared with RWP and GM, the message delivery ratio of SPMB is increased by 12% and 7.6% respectively. The network overhead ratio decreased by 7.27 % and 4.44%, respectively. The average delay is reduced by 798.38s and 564.43s respectively. In conclusion, the DTN routing protocol of SPMB is more reliable in the scenario of UAVs.

Citation Download Citation

Chunguo Fei and Na Feng "Impact of mobility models on UAV delay tolerance network", Proc. SPIE 12699, Third International Conference on Sensors and Information Technology (ICSI 2023), 126990S (15 May 2023); https://doi.org/10.1117/12.2678971

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