Project description
Augmenting wireless fog networks with self-adaptability
To handle the ever-increasing amount of data processing and storage, distributed fog-based networks (WFNs) have emerged to take the pressure off centralised cloud-based services. As smart technology and the internet of things keeps growing, WFNs will need to keep up with demand for quality service, namely location awareness, low latency, real-time applications and energy efficiency. The Marie Skłodowska-Curie Actions REDESIGN project aims to enhance the capabilities of WFNs by augmenting them with self-configuration, management, and remedial and energy awareness functionalities, essentially enabling self-adaptability and autonomous decision-making. These innovations will benefit new markets and applications for WFNs in sectors such as healthcare, security, smart power grids, and disaster management.
Objective
The long-term vision of this project is to kick-start wireless communications paradigm toward developing distributed, self-adaptable, and scalable fog networks and guaranteeing requirements of multitude of the Internet of Things applications including: high energy-efficiency, high data-rate, and high reliability. The goal is to develop wireless fog networks (WFNs) by using network slicing technology and deep learning techniques to integrate ground and drone fog nodes into cellular networks. The project will design WFNs integrated into cellular networks composed by smart cells which are able to continuously sense the network topology and to autonomously learn how to configure network parameters and to slice their own network resources to guarantee the required quality of services by fog nodes. Each cell could also add configuration parameters to enable device-to-device and multicast communications among wireless fog nodes themselves. This project enables a shift from centralised core-centric cellular networks toward distributed, software-based, and self-adaptable cell-centric ones to support new fog computing applications. These advancements will make the vision of smarter cities by applying ground and drone fog nodes, almost zeroing the operational expenses related to network configuration and hence revolutionizing the existing business models for fog computing by radically reducing energy and operational costs. This will also facilitate the rise of new fog networks markets and applications including healthcare, security, smarter power grids, and disaster management.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications telecommunications networks mobile network
- social sciences economics and business business and management business models
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
- engineering and technology electrical engineering, electronic engineering, information engineering electrical engineering power engineering electric power transmission
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
75794 PARIS
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.