Call For Papers
Today, most industrial contenders are advocating for their versions of IoT, while mainstream research efforts address singular views of scalable sensing, massive RFID-based identification, and other topological remedies to handle the ensuing Big Data communication and sense-making processes. IoT architectures need to expand on the functional capacity and interaction of “things”; beyond sheer sensors and actuators, as they take center stage in the next generation IoT. This will facilitate the understanding, and subsequent optimization, of interdependencies of complex IoT systems.
The scope of C-IoT 2020 will focus on topological remedies to handle Big Data communication and scalable IoT services. While many hurdles face synergistic IoT development, we will focus on techniques from Machine Learning to aid IoT convergence on data and information planes. As communication between heterogeneous IoT architectures is becoming a reality, it is ever more pressing to address data compatibility and information extraction from heterogeneously sourced data. This includes challenges with data representation, meta-data tagging practices, establishing quality of resource (QoR) and quality of information (QoI) measures in heterogeneously sourced IoT data. More importantly, scaling such IoT systems is inherently tied with trusting such data, and our inference in deriving knowledge from data.
This workshop will focus on encouraging developments that transcend single-function IoT deployments. While interoperability and functional convergence remain a pressing challenge, recent trends in multi-homing IoT architectures, gateways with multiple connectivity modes, and cataloguing systems that enable rapid resource discovery, have led many advancements in IoT interoperability. These developments are building on recent strides in managing hardware-agnostic low-power networks, which are promising many new frontiers in convergent operation.
In its 5th iteration, this workshop will focus on machine learning (ML) techniques that will aid interoperability across IoT’s operational spectrum. That is, building on ML to aid in all stages of IoT operation, from heterogeneous resource discovery, calibration, verification, functional augmentation, and sustenance, all the way to communication/interference management and data collection, pruning and homogeneous representation.
As IoT is proving to be integral to recent developments in the Tactile Internet (TI), this workshop solicits contributions that address synergy and convergence with Tactile Internet applications, interoperability at the Tactile Edge, and how IoT could leverage TI cognizance.
Topics of Interest include (but not limited to):
We seek original contributions that have neither been previously published nor currently under review. Authors can submit a full paper (up to 6 pages) that describes complete work in a self-contained manner with the intent to deliver an oral presentation.
Submission link: https://edas.info/N26817
All accepted submissions will be published in the ICC’20 workshop proceedings and the ieeeXplore portal.