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

TL;DR

This paper introduces a Link Quality prediction model for Software-Defined Wireless Sensor Networks to enhance network stability by addressing wireless link instability through simulation-based validation.

Contribution

It proposes a novel LQ prediction model integrated into SDWSN architecture, improving multi-hop network stability by mitigating unstable wireless links.

Findings

LQ prediction model effectively corrects wireless link estimations.

Network stability significantly improved with the model.

Simulation results validate the approach's effectiveness.

Abstract

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.