The Workshop on ns-3 (WNS3) is a one to one and a half day workshop to be held starting on June 15, 2016, hosted by University of Washington (UW) in Seattle, WA USA. The objective of the workshop is to gather ns-3 users and developers, together with networking simulation practitioners and users, and developers of other network simulation tools, to discuss the ns-3 simulator and related activities.

The Workshop will again apply for inclusion in the ACM Digital Library (as was done for WNS3 2014 and also WNS3 2015).

WNS3 invites authors to submit original high quality papers presenting different aspects of developing and using ns-3. In such papers, reproducibility and methodology will be a key reviewing criteria, as explained below. Topics of interest include:


new models, devices, protocols and applications for ns-3
using ns-3 in modern networking research
comparison with other network simulators and emulators
speed and scalability issues for ns-3
multiprocessor and distributed simulation with ns-3, including the use of GPUs
validation of ns-3 models
credibility and reproducibility issues for ns-3 simulations
user experience issues of ns-3
frameworks for the definition and automation of ns-3 simulations
post-processing, visualisation and statistical analysis tools for ns-3
models ported from other simulators to ns-3 and models ported from ns-3 to other simulation environments
using real code for simulation with ns-3 and using ns-3 code in network applications
integration of ns-3 with testbeds, emulators, and other simulators or tools
using ns-3 API from programming languages other than C++ or Python
porting ns-3 to unsupported platforms
network emulation with ns-3
using ns-3 in education and teaching

We also solicit novel papers with a focus on an industrial application of ns-3 (use of ns-3 within industry). Papers in this category must address these questions:

What specific R&D questions did you or do you want to answer by simulation?
Why and how did you choose ns-3 as the appropriate tool for your application?
What surprises did you find, in correctness/behavior? in implementation? in learning curve?
What are the remaining barriers to addressing fully your R&D questions?
What general capabilities would have made your work easier/faster?

If the authors would like their paper to be considered in this special category, please notify the TPC chairs upon submission.

Papers must be written in English and must not exceed 8 pages. Every paper will be peer-reviewed. At least one author of each accepted paper must register and present the work at the conference.