Ahmed Mostefaoui, Université de Franche-Comté, France. Email: firstname.lastname@example.org
Gabriele Gianini, Università degli Studi di Milano, Italy. Email: email@example.com
Cheng Li, Memorial University of Newfoundland, Canada. Email: firstname.lastname@example.org
Ernesto Damiani, Università degli Studi di Milano, Italy. Email: email@example.com
Recent technological advances in hardware miniaturization have made available powerful micro-devices with wireless communication capabilities at very low price. This has spawned the development of a wide variety of applications and services – the Internet of Things (IoT) – both in the general public domain (health services, smart cities services, automotive services, etc.) and in specialized ones (military, industrial, etc.). For a growing part of those services, based on multimedia, the requirement for a given Quality of Service (QoS) becomes essential, and calls for a challenging design and management of the multimedia transmission systems operation. Even more important for those services, however, is the requirement to meet the end-user expectations. For this reason, it is crucial to consider the multimedia quality directly from the users’ perspective, i.e. to evaluate the Quality of Experience (QoE).
QoS and QoE can be assessed using different metrics: the more technology-related metrics (latency, reliability, throughput) are used to quantify the fulfillment of an objective QoS, whereas experience-related metrics and goals (data completeness, quality of the captured data, including its truthfulness, security aspects) can be used to assess the QoE.
Furthermore, targeting the emerging large scale applications – such as those for smart cities monitoring or people monitoring, consisting of hundreds and even thousands of interconnected devices – implies new needs for the underlying system, which impose very tight constraints on it. Indeed, the scale of the system considerably makes it more complex to achieve the QoS/QoE goals: it renders design, deployment and management even more challenging. For example, one has to account for devices prone to hardware failure and running software characterized by low abstraction, closer to the hardware to favor performance. Other challenges are represented by the variety and the heterogeneity of the hardware (i.e., devices), and to the related software (OS, protocols, etc.), which makes both their integration in one system very demanding, and their management extremely challenging.
Overall, large deployment of IoT networks calls for a paradigm shift in terms of concepts and techniques handling QoS and QoE.
The objective of this Special Issue is to explore recent advances and techniques in QoS/QoE within IoT networks in general and within large-scale networks in particular.
Topics of interest include (but are not limited to):
- QoE/QoS metrics and measurement for the IoT
- QoE/QoS-aware IoT networks architecture and performance analysis
- QoE/QoS performance, and economy trade-offs
- QoE/QoS-driven network and application management in the IoTHandling the non-aligned
- QoE/QoS requirements of different IoT applications
- QoE/QoS-aware architecture and protocol design for IoT QoE/QoS-aware cross-layer optimization
- QoE/QoS-aware interference management and admission control in wireless networks
- QoE/QoS power and energy management
- QoS-QoE relationship modeling
- QoS-QoE-oriented modeling and simulation of large-scale IoT
- Real experiments and testbeds for QoE/QoS evaluation
- Design and analysis of secure routing in QoS/QoE-aware mobile networks
- QoE/QoS vs security trade-offs in the IoT
- Artificial intelligence for QoE/QoS in IoT
- Big data analysis for QoE/QoS in IoT
This Special Issue invites novel contributions that advance the state-of-the-art in the above areas. Manuscripts that extend research published previously (e.g., in conference or workshop proceedings) will only be considered if they include at least 50% of significantly new material; the submission of such manuscripts must be accompanied by a “Summary of Differences” letter explaining how the authors extended their previously published work.
Submission due: 30th May 2021
First review notification: 30th September 2021
Revision due: 30th November 2021
Second review notification: 31st January 2022
Publication date: Approx. May 2022
All submitted manuscripts must be formatted according to the Computing’s instructions for authors, which are available at https://www.springer.com/journal/607/submission-guidelines along with the templates. We will accept both LaTeX manuscripts (which must use the Springer templates) and Word manuscripts (for which no templates are available).
Please note that the page limit for Special Issue submissions differs from that of regular Computing submissions. Manuscripts submitted to the Special Issue, once formatted according to the journal template, should not exceed 20 pages. Submissions that do not comply with this requirement are likely to be rejected without revision.
Manuscripts should be submitted using the online submission system at https://www.springer.com/journal/607 . When submitting a manuscript for this Special Issue, the authors should select ‘SI: QoS & QoE IoT’ during the submission step ‘Additional Information‘.