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This
page presents and distributes a Wireless
Simulation Environment for Multimedia Networks. There are two
versions of the simulators, the original (old) WiSE-MNet
and the new WiSE-MNet++
WiSE-MNet++ and
WiSE-MNet are based on Castalia/Omnet++ and enable the modeling
of the communication layers,
the sensing and distributed applications of Wireless
multimedia sensor networks (WMSNs), i.e. networks with sensors capturing
complex vectorial data, such as video and
audio.
The
environment is designed to be flexible and extensible, and has a simple
perception model that enables the simulation of distributed
computer-vision algorithms at a high-level of abstraction.
WiSE-MNet++ is a considerably extended version of WiSE-MNet. WiSE-MNet++ includes the implementation of several
state-of-the-art algorithms for smart-camera networks. A visual comparisons between WiSE-MNet++
and other simulators is shown in this Venn diagram
WiSE-MNet++
Download the WiSE-MNet++ software [zip]
User guide [pdf]
Hands-on tutorial
[pdf]
Video tutorial [video]
Case Studies covered in
the WiSE-MNet++ paper
- Pipeline for the Case
Study 1
- Camera network and
sample trajectories for Case Study 2
Reference for the WiSE-MNet++ simulator
Networked
Computer Vision: the importance of a holistic simulator [pdf]
J.C. SanMiguel,
A. Cavallaro
IEEE Computer, July 2017, Vol. 50, No. 7, pp.35-43
*** GitHub repository
***
WiSE-MNet (older version of the simulator)
Download the user
guide [pdf]
Download
the WiSE-MNet software [zip] – beta version:
feedback welcome, please write to wise@spevi.org
Reference for the WiSE-MNet simulator
WiSE-MNet: an experimental environment
for Wireless Multimedia Sensor Networks [pdf]
[presentation]
C. Nastasi, A. Cavallaro
Proc. of Sensor Signal Processing for Defence (SSPD), London, UK, 28-29
September, 2011
Application
of the simulator
Distributed
target tracking under realistic network conditions [pdf]
[presentation]
C. Nastasi, A. Cavallaro
Proc. of Sensor Signal Processing for Defence (SSPD), London, UK, 28-29
September, 2011
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