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<p>Special Issue on Industrial IoT networks to support future
Cloud-to-Things applications<br>
<br>
– Ad Hoc Networks, Elsevier –<br>
<br>
The Cloud-to-Things (C2T) continuum is a novel paradigm that
extends the cloud-computing centralized architecture by
introducing intermediate computing layers to host industrial
applications and services with stringent requirements in terms of
latency and reliability in the communication with IoT devices and
sensors.<br>
<br>
Recent network architectures that support the integration of IoT
devices into existing networks, like 6TiSCH or 5G/6G, include by
design support for strict Quality of Service (QoS) communication
requirements to ensure timed and reliable data delivery between
applications and IoT devices.<br>
<br>
The deployment and management of the C2T multi-tier computing
infrastructure connected with industrial IoT via heterogeneous
communication technologies on a large-scale will require
innovative approaches to guarantee QoS application requirements by
enabling the convergence between computing and networking. Current
networking management approaches are not adequate to support this
convergence, thus leading to research open issues in multiple
areas, including, for instance, IoT networks performance
optimization, efficient resource management, scalable device
management, novel compute-network joint management strategies,
etc.<br>
<br>
In this special issue, we look for original and high-quality
research works in these areas to enable the convergence between
networking and computing in the C2T continuum for industrial
applications. The topics relevant to this special issue include
but are not limited to:<br>
<br>
*Network resource allocation and management in Industrial IoT
networks<br>
*Integration between cloud-edge infrastructure and 5G/6G networks
for the Industrial IoT<br>
*Network continuity to support efficient offloading to optimize
network performance<br>
*Network strict-QoS for Industrial applications in the C2T
continuum<br>
*Joint network configuration and workload distribution in the C2T
continuum<br>
*Security issues and solutions for industrial systems in the C2T
continuum<br>
*Ad-Hoc Networks for industrial applications to support mobility<br>
*Vehicular networks for cooperative autonomous vehicles<br>
*Self-organizing networks in the C2T continuum<br>
*Scalable management solutions in the C2T continuum<br>
*Novel network paradigms to support the C2T continuum with QoS
guarantees<br>
<br>
Guest editors:<br>
<br>
Jiannong Cao, Hong Kong Polytechnic
University,<a class="gmail-moz-txt-link-abbreviated" href="mailto:jiannong.cao@polyu.edu.hk">jiannong.cao@polyu.edu.hk</a><br>
Sajal K. Das, Missouri University of Science and Technology,
<a class="gmail-moz-txt-link-abbreviated" href="mailto:sdas@mst.edu">sdas@mst.edu</a><br>
Francesca Righetti, University of Pisa,
<a class="gmail-moz-txt-link-abbreviated" href="mailto:francesca.righetti@unipi.it">francesca.righetti@unipi.it</a><br>
Carlo Vallati, University of Pisa, <a class="gmail-moz-txt-link-abbreviated" href="mailto:carlo.vallati@unipi.it">carlo.vallati@unipi.it</a><br>
<br>
Manuscript submission information:<br>
<br>
The ADHOC's submission system (Editorial
Manager®<a class="gmail-moz-txt-link-rfc2396E" href="https://www.editorialmanager.com/adhoc/default2.aspx"><https://www.editorialmanager.com/adhoc/default2.aspx></a>)
will be open for submissions to our Special Issue from January
10th, 2023.When submitting your manuscript please select the
article type VSI:IIoT for C2T applications.<br>
<br>
<br>
Important Dates:<br>
<br>
- Manuscript submission deadline: May 30, 2023<br>
- Final Notification: January 30, 2024 <br>
<br>
<a class="gmail-moz-txt-link-freetext" href="https://www.sciencedirect.com/journal/ad-hoc-networks/about/call-for-papers#industrial-iot-networks-to-support-future-cloud-to-things-applications">https://www.sciencedirect.com/journal/ad-hoc-networks/about/call-for-papers#industrial-iot-networks-to-support-future-cloud-to-things-applications</a><br>
<br>
</p>
<pre class="gmail-moz-signature" cols="72">--
-----------------------------
Carlo Vallati, PhD
Associate Professor
Department of Information Engineering
University of Pisa
Via Diotisalvi 2, 56122 Pisa – Italy
Ph. : (+39) 050-2217.572 (direct) .599 (switch)
E-mail: <a class="gmail-moz-txt-link-abbreviated" href="mailto:carlo.vallati@iet.unipi.it">carlo.vallati@iet.unipi.it</a>
<a class="gmail-moz-txt-link-freetext" href="http://www.iet.unipi.it/c.vallati/">http://www.iet.unipi.it/c.vallati/</a></pre>
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