[robotics-worldwide] [journals] Wireless Communications and Mobile Computing: Special issue on Time-Critical Wireless Networks for Industrial Systems and Mobile Robotics

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[robotics-worldwide] [journals] Wireless Communications and Mobile Computing: Special issue on Time-Critical Wireless Networks for Industrial Systems and Mobile Robotics

Stefano Ghidoni
[Apologies for multiple posting]

Dear Colleagues,

you are cordially invited to submit your research work to the Special
issue on Time-Critical Wireless Networks for Industrial Systems and
Mobile Robotics, Wireless Communications and Mobile Computing. The
deadline is set to:

May 18th, 2018.

Recently, there has been increasing interest in areas like smart
factories, process control, robotics, smart energy grids, and so forth.
These entities can be regarded as complex real-life systems, composed of
several collaborating computational agents surrounded by a suitable ICT
infrastructure to effectively control time-critical physical processes.
In particular, such a structure focuses on the intersection between the
physical process and computation, where the former provides a feedback
loop to the computational side, and vice versa. This kind of system is
often identified with the term Cyber-Physical Systems (CPS). To support
this framework, the underlying communication infrastructure is required
to provide definite and trustworthy performance, strong reliability, and
bounded latencies, while supporting self-healing and flexible network

It is collectively recognized that high-performance wireless protocols
will represent a breakthrough in future CPS, enabling the exploitation
of an ad hoc, rapid, and adaptive connectivity while ensuring the
required performance. Unfortunately, wireless communications are prone
to disturbances and external interferences and are often affected by
nonnegligible packet loss rates, random delays, and jitter.
Indeed, their actual low penetration in industry-grade control scenarios
is mostly due to these long-existing challenges to meet the specific
time-critical applications’ constraints reliably. A broad range of
high-performance applications may benefit from the adoption of
time-critical wireless communications, such as industrial control and
factory automation systems, mobile and cooperative robotics (e.g.,
robotic manipulation, vision), and coordination and control of mobile
computing agents (e.g., smart drones). In all these applications, the
underlying communication network has to be able to steadily sustain a
high sampling rate of the physical environment, a requirement that
current wireless systems might not be able to meet.

In the context of this special issue, several research areas reveal
paramount interest.

Interoperability among heterogeneous systems and cost issues push toward
the adoption of widespread commercial wireless solutions, such as IEEE
802.11-based ones, which are not specifically designed to support
time-critical control applications. Efforts are hence imperative to
dramatically enhance the communication performance of wireless systems
in order to boost the actual sampling times in critical scenarios. This
entails the design and exploitation of new protocols, architectures, and
algorithms to enable cooperation and control over wireless lossy
channels. The development of effective real-time scheduling techniques
is also envisaged for an efficient traffic management. Moreover, fields
like coordination and vision over wireless are significantly impacted by
these types of networks, and activities are required in this field to
match the required and the available performance.

The main aim of this special issue is to attract high-quality research
papers addressing the most recent advances in all the highlighted
fields. Also, we encourage submissions of survey papers summarizing the
state of the art in any of the related research areas.

Authors can submit their manuscripts through the Manuscript Tracking
System at:


Papers are published upon acceptance, regardless of the Special Issue
publication date.

Lead Guest Editor

Federico Tramarin, National Research Council of Italy, Padua, Italy
[hidden email]

Guest Editors

Andreas Willig, University of Canterbury, Canterbury, New Zealand
[hidden email]

Zhibo Pang, ABB Corporate Research, Vasteras, Sweden
[hidden email]

Stefano Ghidoni, University of Padua, Padua, Italy
[hidden email]
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