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

We introduce and analyze a new Markov model of the IEEE 802.11 DistributedCoordination Function (DCF) for wireless networks. The new model is derivedfrom a detailed DCF description where transition probabilities are determinedby precise estimates of collision probabilities based on network topology andnode states. For steady state calculations, we approximate joint probabilitiesfrom marginal probabilities using product approximations. To assess the qualityof the model, we compare detailed equilibrium node states with results fromrealistic simulations of wireless networks. We find very close correspondencebetween the model and the simulations in a variety of representative networktopologies.

Probabilistic Modeling of IEEE 802.11 Distributed Coordination Functions