Von: "Prof. Krishna Moorthy Sivalingam" <skrishnam@CSE.IITM.AC.IN>
Gesendet: 17. April 2023 07:02:28 MESZ
An: tccc-announce@COMSOC.ORG
Betreff: [TCCC-ANNOUNCE] CFP: IEEE Globecom 2023 -- IoT and Sensor Networks Symposium - Deadline extended to May 6, 2023

Please accept our apologies if you see multiple copies of this message.

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CALL FOR PAPERS

IEEE Globecom 2023: IoT and Sensor Networks Symposium
4-8 December 2023, Kuala Lumpur, Malaysia
https://globecom2023.ieee-globecom.org/
https://edas.info/newPaper.php?c=30598
The 2023 IEEE Global Communications Conference (GLOBECOM) invites
submissions for its symposium papers. This year, the conference will be
held in the warm and thriving city of Kuala Lumpur, Malaysia, from
December 4th to 8th, making it the first time that the conference is
being organized in this location. Themed "Intelligent Communications for
Shared Prosperity," the technical program will include 13 symposia,
tutorials, and workshops, as well as an industry program featuring
keynotes and panels from research, industry, and government leaders,
business and industry panels, and a technological exhibit. Submit your
symposium paper for the opportunity to share your research and ideas
with leading experts in the field and be a part of the historic first
GLOBECOM in Kuala Lumpur.
Important Dates

Paper Submission: May 6, 2023 (Extended Deadline)
Notification: 25 July 2023
Camera Ready: 1 September 2023

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Submission link: https://edas.info/newPaper.php?c=30598
Scope and Motivation

The Internet of Things (IoT) has emerged as a promising technology to
revolutionize the way we live and interact with the surrounding
environment. IoT produces and communicates massive amounts of data that
needs to be filtered, analyzed, and processed. In industrial
environments (i.e., Industry 4.0 and 5.0) as well as in smart cities,
communication between connected devices requires high reliability, low
latency, and sufficient scalability. Several technologies such as BLE,
Zigbee, Wireless HART, IEEE Std 802.15.4 TSCH, 6TiSCH, LPWAN (LoRa,
Sigfox, NB-IoT, LTE-M etc.), and RAW have been proposed to tackle these
communication requirements. The 5G network provides not only increased
data rates but also ultra-low data latency communication for critical
IoT applications that require extreme reliability. 5G enables Machine
Type Communication (MTC), which is used by mobile network operators,
equipment vendors, MTC specialist companies, and research bodies.

The high-traffic demand, low-latency, and deterministic delivery
requirements stemming from IoT and machine-to-machine (M2M)
communications can be met only with radical changes to current
communication and networking architectures. Recently, Fog and Edge
computing has been proposed to mitigate the heavy burden on the network
due to the centralized processing and storing of the massive IoT
data. Fog/Edge-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.
Topics of Interest

The IoT and Sensor Networks Symposium at IEEE Globecom 2023 aims at a
forum that brings together scientists, researchers, and leaders in their
domain to present their cutting-edge innovations in all aspects of this
field. The IoT and Sensor Networks Symposium seeks original
contributions and unpublished pertaining to trends, issues, and
challenges of the following topical areas, plus others that are not
explicitly listed but are closely related:

• Blockchain technology for IoTs
• Federated learning for IoT networks
• B5G networks and IoT
• IoT security, trust, and trustworthy
• Secure and privacy-preserving IoT communications
• IoT and personal data protection
• Artificial intelligence and IoT
• IoT large scale pilots and portability
• IoT interoperability and multi-platform integration
• SDN, NFV and IoT
• Intelligent sensor and actuator networks
• Emerging IoT protocols and standards
• Ultra-low power IoT technologies and embedded systems architectures
• Wearables, body sensor networks, smart portable edge devices
• Design space exploration techniques for IoT devices and systems
• Heterogeneous networks, Web of things, Web of everything
• Named data networking for IoT
• Internet of nano things
• IoT data management, mining and analytics
• Distributed IoT data storage and management
• Routing and control protocols for IoT and sensor networks
• Resource management, resource allocation for IoT and sensor networks
• Mobility, localization and context-adaptive IoT
• Medium Access Control for IoT and sensor networks
• Mobility, Localization and Management Aspects for IoT and sensor networks
• Identity management and object recognition for IoT and sensor networks
• Localization technologies for IoT and sensor networks
• Edge computing, fog computing and IoT
• Fog/Edge caching techniques for IoT
• Machine to machine (M2M)/devices-to-devices communications and IoT
• Industrial IoT and factory of things and IoTs
• Emerging technologies for the industrial IoT
• Application of Fog/Edge computing to IoT: architectures and
implementations
• Autonomic computing for IoTs
• Connected car, automotive, intelligent transport for IoT and sensor
networks
• Cooperative computing for IoTs
• Cooperative IoT and sensor systems
• Design principles and best practices for IoT application development
• Dynamic scheduling, power control, interference management, and QoS for
IoT and sensor networks
• Standards based IoT large scale pilots/demonstrators
• Interoperability methodologies for heterogeneous IoT
• IoT big data management and predictive analysis
• IoT for smart manufacturing (industry 5.0) and smart spaces
• IoT standards platforms interworking
• Horizontal application development for IoT
• IoT networks crowdsensing
IoT and Sensor Networks Symposium Co-Chairs

• Nizar Zorba, Qatar University, Qatar. <nizarz@qu.edu.qa>

• Baoxian Zhang, University of Chinese Academy of Sciences, China.
<bxhang@ucas.ac.cn>

• Selma Boumerdassi, Conservatoire Nat. Des Arts et Metiers,
France. <Selma.boumerdassi@cnam.fr>

• Krishna Moorthy Sivalingam, Indian Institute of Technology
Madras, India. <skrishnam@cse.iitm.ac.in>

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