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P1: Energy-Efficient and Data Freshness-Optimizing Communication Technologies for the Next-Generation Scalable Internet of Things (Fresh-IoT)

Professor Elif Uysal

Principal Investigator

Professor Elif Uysal

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Institution(s)

METU (Leader), Işık University, ESOGU

Strategic Target Name

Implementation of energy-efficient, data freshness-based semantic communication technologies that will ensure the scalability of Internet of Things- based smart urban technology applications, at a pilot level by 2024, by increasing them to TRL 6 level.

Field of Activity of the Project

Information and Communication Technologies, Internet of Things, Wireless Communication, Communication Networks

Project Summary

Scalably supporting the growth in the Internet of Things (IoT), one of the main carriers of digitalization and autonomy in sustainable urban technologies, requires end-to-end design of communication systems and networks, starting from the foundation. For the success of the perception-calculation-action cycle in applications such as environmental monitoring, autonomous air/land/sea vehicles, location tracking, it is essential that the right information is sampled at the right time and brought to the place where it is needed on time. A new concept called "semantic communication" has been defined to convey the necessary information at the right time. One of the simplest, quantitative and concrete examples of semantic communication is Age- aware communication.

The main purpose of the project is to transfer these new technologies, which have been brought to TRL 3 level in our research, to the industry. Since semantic communication techniques are not expected to be implemented in the mMTC and URLLC modes of the 5th generation communication systems (5G), the goal of our project is to make a timely and major impact on the 6th generation communication systems, referred to as 6G, which have not yet started to develop. The widespread impact of the project is to provide both energy savings and a reduction in traffic, as IoT nodes achieve the same level of freshness with lower average activity, preventing bottlenecks on the Internet. In other words, the impact of the project is a more sustainable IoT technology in terms of energy consumption and bandwidth in network infrastructures.

Project Team

Assistant Professor Ahmed Hareedy

Assistant Professor Ahmed Hareedy

Researcher · METU

Research Areas: Forward Error Correction Codes

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Alperen Balcı

Alperen Balcı

Researcher (MS Student) · METU

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Tuğrul Aydın

Tuğrul Aydın

Researcher (MS Student) · METU

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Süleyman Çıtır

Süleyman Çıtır

Researcher (MS Student) · METU

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Çağrı Arı

Çağrı Arı

Researcher (MS Student) · METU

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Ömer Gençay

Ömer Gençay

Researcher (MS Student) · METU

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Ahsen Topbaş Tanyeri

Ahsen Topbaş Tanyeri

Researcher (MS Student) · METU

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Undergraduate Students

Batu Saatci

Batu Saatci

Researcher (Undergrad Student) · METU

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Ayşe Betül Yıldırım

Ayşe Betül Yıldırım

Researcher (Undergrad Student) · METU

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Mevlüt Metin

Mevlüt Metin

Researcher (Undergrad Student) · METU

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Görkem Yıldırım

Görkem Yıldırım

Researcher (Undergrad Student) · METU

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Support Staff

Barkın Ergür

Barkın Ergür

Employee · METU

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