车辆自组织网络中时延降低的数据结构

2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT) Pub Date : 2021-12-16 DOI:10.1109/icacfct53978.2021.9837383

Raghavendra Pal, R. Thenua

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引用次数: 0

摘要

已经确定并解决了VANET领域的各种问题。然而，在VANET排队是一个被忽视的领域。由于频繁的重调度，数据结构对VANET的延迟有很大的影响。为了减少频繁重调度的影响，本文结合现有的各种数据结构，提出了几种数据结构。结果显示了各种数据结构组合对网络性能的影响。与链表相比，最有效的数据结构提供3.3%的延迟，3.94%的数据包传输和4.08%的吞吐量改进。虽然这种改进不是很显著，但应该注意的是，这只是由于使用了不同的数据结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Structures for Delay Reduction in Vehicular Ad hoc Networks

Various problems in the area of VANET have been identified and solved. However, the queuing in VANET is a neglected area. Data structure has a significant effect on the delay in VANET due to frequent rescheduling. Several data structures have been proposed in this work by combining various existing data structures to reduce the effect of frequent rescheduling. The results show the effect of various combinations of data structures on the performance of the network. Most efficient data structure provides an improvement of 3.3% in delay, 3.94% in packet delivery and 4.08% in throughput in comparison to the linked list. Although this improvement is not much significant, it should be noted that this is only due to the use of different data structures.

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2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)

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