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Subject:
From:
Mithun Mukherjee <[log in to unmask]>
Reply To:
Mithun Mukherjee <[log in to unmask]>
Date:
Wed, 14 Mar 2018 04:26:53 +0000
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[Please accept our apologies if you receive multiple copies of this Call for Papers (CfP).]

********************************************************************
CALL FOR PAPERS 
IEEE GLOBECOM 2018
 
Selected Areas in Communications Symposium, Track on Internet of Things
 
Abu Dhabi, UAE
December 9-13, 2018 

http://globecom2018.ieee-globecom.org

********************************************************************

Important Dates for Paper Submissions

Paper submission: April 15, 2018
Acceptance Notification: July 15, 2018
Camera-ready submission: August 15, 2018

 
Scope and Motivation:
 
The Internet of Things (IoT) envisions thousands of constrained devices with sensing, actuating, processing, and communication capabilities able to observe the world with an unprecedented resolution. According to Cisco, more than 50 billion devices are expected to be connected to the internet by 2020 and 20 % of which are from the industry sector.  These connected things will generate huge volume of data that need to be analyzed to gain insight behind this big IoT data. Moreover, in the industrial environments (industry 4.0) as well in in smart spaces (building, houses, etc.)  and connected cars communications often require high reliability, low latency and scalability. Several technologies such as BLE, Zigbee, WirelessHART, 6TiSCH, LPWAN (Lora, Sigfox, etc.) have been proposed to fit these requirements. The forthcoming 5G networks is promising not only by increased data rates but also low-latency data communication for latency-critical IoT applications. 5G will enable massive IoT devices connected via a myriad of networks and critical machine type communications. While the massive IoT is more concerned about scalability deep coverage and energy efficiency, the latter requires ultra-low latency and extreme reliability.  Recently, the fog-to-thing continuum is proposed to mitigate the heavy burden on the network due to the centralized processing and storing of the massive IoT data. Fog-enabled IoT architectures ensure closer processing in proximity to the things, which results in small, deterministic latency that enables real time applications and enforced security.
 
The aim of the IoT Track is to provide a forum that brings together scientists and researchers to present their cutting-edge innovations in all aspects of the field. This IoT track solicits technical papers describing original, previously unpublished papers pertaining to trends and issues and challenges of IoT. 
 
Topic calls for novel contributions, R&D results from industry and academic/industrial collaborations including, but not restricted to the following topics:
 
      IPv6 as an Enabler of the Internet of Things 
      IPv6-based novel addressing schemes for IoT devices
      Deployment strategies in IoT: coverage and connectivity issues and challenges
      IoT for smart manufacturing (industry 4.0) and smart spaces
      IoT big data and predictive analysis
      Innovative routing and scheduling protocols 
      New communications mediums for Low Power Wide Area Networks
      Dynamic scheduling, power control, interference management, and QoS management in IoT networks
      Software defined networking for IoT
      Mobility, Localization and context-adaptive IoT 
      Practical Perspectives on IoT in 5G Networks
      NB-IoT
      Application of SDN, NFV, and Fog computing to IoT: architectures and implementations
      Fog Caching techniques for IoT
      Massive MTC (mMTC)
      Web of Things
      Messaging Technologies for the Industrial IoT (DDS, AMQP, MQTT, MQTT-SN, CoAP, etc)
      Hybrid IoT-satellite networks
      Secure and privacy-preserving IoT communications
      Blockchain technology for IoT
      IoT standards platforms interworking
      Experience and lessons learnt for standards based IoT large scale pilots/demonstrators
      Interoperability methodologies for heterogeneous IoT
 
Track Chair: Latif Ladid, University of Luxembourg, Luxembourg
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