The Internet of Things (IoT) has been explored and implemented in a number of variations with significant efforts from academia and industry. Currently, mainstream IoT directions are drifting towards application specific solutions and the development of proprietary versions of IoT. Under the premise of ubiquitous Internet access and IPv6 connectivity, many IoT variants have evolved without considering interoperability across the spectrum of existing and operable infrastructures, nor the impact on underlying networking infrastructures and ensuing performance. We invite original work that aims at a convergent view of IoT, one that specifically adopts heterogeneous architectures, and inherently builds upon interoperability with existing connected infrastructures. This encompasses work on resource identification, calibration, profiling, and utilization in a dynamic IoT framework. We invite original contributions that address crowd-based IoT infrastructures, encompassing incentive schemes, and collaboration and cooperation schemes, to ensure maximal utility of ubiquitously accessible smart resources.

We strongly encourage results from industry and academia, and solicit research that facilitates functional scalability for a truly survivable version of IoT. We advocate for empowering IoT architectures that adopt rapid resource management in a quad-fold approach: 1) inter-networking between heterogeneous components over dynamic access schemes (ZigBee, ANT+, BLE, WiFi, etc), 2) Rapid resource discovery, identification, profiling and promotion in real-time, 3) Establishing formal descriptors for IoT services to enable rapid matching with heterogeneous IoT resources, regardless of underlying proprietary infrastructures, and 4) Developing elastic pricing models to solicit crowd-contribution and offset IoT deployment costs, by leveraging resource facilitation.



Areas/Topics of interest:



Specific topics include, but are not limited to:

- Data and organization Interoperability challenges for IoT systems
- Quality of Information pruning for crowd-solicited data in heterogeneous IoT
- Resource identification, discovery, and profiling in heterogeneous IoT
- Beyond IPv6 Connectivity for on-demand IoT
- IoT Interoperability issues across access schemes
- Infrastructure-less IoT survivability
- IoT infrastructures for Data management and Analytics
- Resource sharing and actuation conflicts resolution
- Crowd-solicited IoT proliferation
- IoT systems collaboration and cooperation mechanisms
- Innovative IoT incentive schemes
- Convergent paradigms in the Internet of Things
- Non-proprietary standardization frameworks for a heterogeneous IoT
- Convergent services on malleable IoT infrastructures (i.e. based on Information/data planes)
- IoT service orchestration and scheduling
- Industrial Internet – Value creation and challenges
- Legal and governance frameworks for IoT regulation


Workshop Co-Chairs:



Maurizio Dècina – Politecnico di Milano, Italy

Sharief Oteafy – Queen’s University, Canada

Mervat Abu-Elkheir – Mansoura University, Egypt


Important Dates

Paper Submission December 4th, 2015
Acceptance Notification February 21st, 2015
Camera-ready March 13th, 2015


Submissions

We seek original contributions that have neither been previously published or currently under review. Authors can submit a full paper (up to 6 pages) that describes complete works in a self-contained manner with the intent to give an oral presentation.
For style and submission guidelines, kindly refer to the author instructions available on the IEEE ICC 2016 website: http://icc2016.ieee-icc.org/call-for-submissions


Sincerely,
Sharief Oteafy


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Sharief Oteafy, PhD

Adjunct Assistant Professor
School of Computing
Queen’s University
http://cs.queensu.ca/~oteafy/
Tel: (613) 533-6000 x 75029
Fax: (613) 533-6513