A realized on-demand cross-layer connection strategy for wireless self-organization link based on WLAN

Guo, Yunhai; Li, Rui; Li, Zhengxiang

doi:10.1007/s12083-020-00896-4

Cited by 2 publications

(4 citation statements)

References 17 publications

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“…Instead, we use an on-demand automatic IP assignment method, which was described in our previous paper. 1 Since this article focuses on the performance of frame aggregation and RTS/CTS mechanisms in Linear WANETs, it does not involve IP routing at the network layer. Therefore, it is assumed that all nodes are configured using static routes as a way to control the variables.…”

Section: Linear Wanet Model and Transmission Characteristicsmentioning

confidence: 99%

“…Static IP here does not mean that we use static IP assignments for all nodes when they are established. Instead, we use an on‐demand automatic IP assignment method, which was described in our previous paper 1 …”

Section: Linear Wanet Model and Transmission Characteristicsmentioning

confidence: 99%

“…Furthermore, as the satellite communication channel conditions are greatly affected by the weather, and the personal satellite equipment is too expensive, the satellite communication is difficult to promote in the civilian field. 1 The establishment of temporary wireless networks to support particular data transmission in the disaster-stricken areas or indoor venues is one of the urgent tasks in news reporting missions. The emergence of wireless ad hoc network (WANET) technology is of great significance to study the temporary wireless data transmission in the above situations.…”

Section: Introductionmentioning

confidence: 99%

“…However, the interruption of power facilities and communication infrastructures caused by environmental factors will make traditional mobile networks and terrestrial wired networks unusable. Furthermore, as the satellite communication channel conditions are greatly affected by the weather, and the personal satellite equipment is too expensive, the satellite communication is difficult to promote in the civilian field 1 …”

Section: Introductionmentioning

confidence: 99%

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Evaluating the impact of aggregation and RTS/CTS schemes on IEEE 802.11 based Linear Wireless Ad‐Hoc Networks

Guo

et al. 2022

Engineering Reports

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The Linear Wireless Ad-Hoc Network (Linear WANET), as a branch of the Ad-Hoc network, refers to a self-organizing multi-hop wireless network in which nodes are arranged linearly. Frame aggregation and RTS/CTS schemes are introduced in IEEE 802.11 aims to improve network transmission performance. However, the traditional mechanisms may not have good adaptability in linear multi-hop networks. Thus, we defined a Linear WANET simulation model based on the IEEE 802.11 protocol. We established this model on the NS-3 network simulator to perform A-MSDU, A-MPDU, and two-level frame aggregation simulation and analyzed the aggregation performance under different channel environments. Meanwhile, the RTS/CTS and TXOP mechanisms were also simulated in this article. We analyzed the performance of each mechanism in a Linear WANET under saturated and unsaturated environments. We found that the linear multi-hop characteristic has a significant impact on the performance of the frame aggregation mechanism. In the Linear WANET, the A-MSDU mechanism can improve system performance to a limited extent, but at the same time, it will increase the packet loss rate and delay. So, the two-level aggregation can improve the maximum throughput of the system with better channel conditions. In the case of single A-MPDU aggregation, there has a lowest data delivery interval that the Linear WANET system can withstand. The A-MPDU mechanism is a better choice for the poor channel conditions with unsaturated system throughput. Meanwhile, we also found that the native TXOP mechanism cannot effectively improve the system efficiency of Linear WANET. The RTS/CTS mechanism can enhance system throughput performance in most cases, especially in a saturated throughput environment.

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Section: Linear Wanet Model and Transmission Characteristicsmentioning

confidence: 99%

Section: Linear Wanet Model and Transmission Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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