Autonomous Vehicle Networks for More Reliable Truck Tracking in Challenged High Mountain Roads, Tunnels and Bridges Environments
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929302995468288 |
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| author | Chen, Junhao Radenkovic, Milena |
| author_facet | Chen, Junhao Radenkovic, Milena |
| contents | The popularity of online shopping has challenged the existing express tracking. How to provide customers with reliable and stable express tracking has become one of the important issues that express companies need to solve now. The current stage of courier tracking is not ideal in challenging environments such as mountain roads, tunnels and city centres. Therefore, the project aims to overcome the challenging environment and achieve stable express tracking, and proposes the Ya'an scenario and conducted multiple experiments. We show that opportunistic DTN-aware protocols are feasible solution for trucks to maintain stable communication in challenging environments, and nodes maintain extremely high message delivery rates and average delays that can maintain communication. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_03033 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Autonomous Vehicle Networks for More Reliable Truck Tracking in Challenged High Mountain Roads, Tunnels and Bridges Environments Chen, Junhao Radenkovic, Milena Networking and Internet Architecture The popularity of online shopping has challenged the existing express tracking. How to provide customers with reliable and stable express tracking has become one of the important issues that express companies need to solve now. The current stage of courier tracking is not ideal in challenging environments such as mountain roads, tunnels and city centres. Therefore, the project aims to overcome the challenging environment and achieve stable express tracking, and proposes the Ya'an scenario and conducted multiple experiments. We show that opportunistic DTN-aware protocols are feasible solution for trucks to maintain stable communication in challenging environments, and nodes maintain extremely high message delivery rates and average delays that can maintain communication. |
| title | Autonomous Vehicle Networks for More Reliable Truck Tracking in Challenged High Mountain Roads, Tunnels and Bridges Environments |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2404.03033 |