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Modeling obstacles in INET/Mobility framework: motivation, integration, and performance

Authors: Hermann S. Lichte; Jannis Weide;

Modeling obstacles in INET/Mobility framework: motivation, integration, and performance

Abstract

Wireless network protocols are commonly evaluated through simulations. The achieved results may vary significantly with the modeled propagation environment. Protocols that use carrier sensing for collision avoidance may not operate properly in the presence of obstacles (e.g. buildings) that shield hosts from each other. These failures may not be recognized when using a long-term stochastic model (e.g. log-normal shadowing), leading to inadequate simulation results. Studying a simple carrier-sensing protocol, we find that when shielding effects are properly modeled, they increase collisions dramatically with increasing transmission power as opposed to the stochastic model. Thus, we formally introduce a model that describes shielding effects and which is still simple enough to be efficiently implemented. We discuss how such implementation looks like, using the Mobility Framework and the INET Framework for OMNeT++ as specific examples. We identify connection-specific caches to be crucial for the run-time performance of the model's implementation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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