English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

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

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