Designing a resilient Internet of Things

Research into routing, security and orchestration of the Internet of Things

Mission

Designing a robust Internet of Things

Research into scalability and autonomous operation of the Internet of Things

Mission

Designing a responsive Internet of Things

Research into sensors, real-time operation and edge computing for the Internet of Things

Mission

Designing a responsible Internet of Things

Research into privacy and energy efficiency of the Internet of Things

Mission

A wealth of research expertise

Our research team has an unrivalled breadth of research expertise

People

Extensive industry and international links

Our research team has worked with many partners in industry and academia across Europe and beyond

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Partners with Irish industry

Extensive links to the Irish commercial sector

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Your partners in Horizon Europe

Leverage our wealth of experience in European research

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About Entwine

Entwine is a research centre designated by Dublin City University to undertake research on the Internet of Things and related topics.

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Our Projects

BMRPP: Blockchain-based Multi-Robot Path Planning

BMRPP: …

  • 1 Sep, 2018
  • 31 Aug, 2019

Secure and trusted distributed control systems for IoT using blockchain                              

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BOAT: Buffer Overflow Attacks on IoT devices

BOAT: Buffer …

  • 1 Oct, 2018
  • 30 Sep, 2021

The vulnerability of operating systems used in IoT devices to buffer overflow attacks is …         

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DroneDrain: A Comparative Study on Energy Consumption Models for Drones

DroneDrain: A …

  • 1 Sep, 2021
  • 31 Aug, 2022

A Comparative Study using Deep learning and Mathematical Model based Approaches for Energy …       

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Econet: Low Energy Consumption Networks

Econet: Low Energy …

  • 1 Oct, 2010
  • 31 Dec, 2013

Funded By: EU FP7

Local and network-wide algorithms for the improvement of a network's energy efficiency without …

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INPUT: In-Network Programmability for next-generation personal cloUd service supporT

INPUT: In-Network …

  • 1 Jan, 2015
  • 31 Dec, 2017

Funded By: H2020-EU.2.1.1.3.

An edge computing project supporting the virtualisation of personal networks.                        

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LowLow: Low power, low latency IoT image processing

LowLow: Low power, …

  • 1 Oct, 2018
  • 30 Sep, 2019

Low power, low latency real-time image analysis at the network edge.                                 

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