arXiv subjects

Shi Xiaofei

Publications and source records attributed to Shi Xiaofei.

2 recordsLinked to original sources

arXiv2021

On the randomness analysis of link quality prediction: limitations and benefits

In wireless multi-hop networks, such as wireless sensor networks, link quality (LQ) is one of the most important metrics and is widely used in higher-layer applications such as routing protocols. An accurate link quality prediction may greatly help to improve the performance of wireless multi-hop networks. Researchers have proposed a lot of link quality prediction models in recent years. However, due to the dynamic and stochastic nature of wireless transmission, the performance of link quality prediction remains challenging. In this article, we mainly analyze the influence of the stochastic nature of wireless transmission on the link quality prediction model and discuss the benefits in the application of wireless multi-hop networks with the performance-limited link quality prediction models.

cs.NI↗

arXiv2021

Design of Link-Quality-prediction-based Software-Defined Wireless Sensor Networks

In wireless multi-hop networks, the instability of the wireless links leads to unstable networking. Even in the newly designed Software-Defined Wireless Sensor Networks (SDWSN), similar problems exist. To further improve the stability of SDWSN, we introduce a Link Quality (LQ) prediction model into the SDWSN architecture. The prediction model is used to improve the stability between neighbor nodes, and thus the stability of wireless multi-hop routes. Simulation results show that the LQ prediction model can make reasonable corrections to the reality wireless link model, which can well address the restrictive nature of unstable links. As a result, by reducing the use of unstable wireless links, the stability of the SDWSN network improved.

cs.NI↗