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Quality of Service for the Internet of Things in Smart Cities via Predictive Networks

Project description

High-quality IoT services in smart cities

By 2020, it is predicted that there will be 50 billion smart connected devices globally. Internet adoption has grown so rapidly that the Internet of Things (IoT) space has exploded. The question now is whether smart cities, which make use of IoT, can deliver high-quality services. The EU-funded QoSIoTSmartCities project will develop algorithms to predict IoT traffic on the internet and assess the quality of services offered in terms of end-to-end latency, reliability and energy efficiency. The findings will contribute to the planning and development of forecasting methods.

Objective

The goal of this project is to enable the delivery of Quality of Service (QoS) for the Internet of Things (IoT) in smart cities. 50 billion devices are expected to be connected to the Internet by 2020. In order to achieve high end-to-end QoS for IoT in smart cities, the problems of scalability, latency, reliability, energy efficiency and mobility must be solved jointly. The specific objectives of this project are (1) to develop forecasting algorithms in order to predict IoT traffic on the Internet, (2) to develop predictive QoS optimization algorithms targeted at IoT, and (3) to build a scalable network simulation of IoT devices in a representative smart city model in order to estimate the end-to-end latency, reliability, energy-efficiency for a section of a city-wide network that includes mobile IoT devices. The results of the project are expected to impact the development of IoT standards in regard to the incorporation of forecasting-based methods to wireless network planning and development. The long-term impact of the project beyond IoT is expected to be the incorporation of forecasting-based methods into all layers of the protocol stack for wireless networks.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF-EF-RI - RI – Reintegration panel

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2018

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Coordinator

YASAR UNIVERSITESI
Net EU contribution

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.

€ 145 355,52
Address
UNIVERSITE CADDESI 35-37 AGACLIYOL
35100 İzmir
Türkiye

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Region
Ege İzmir İzmir
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 145 355,52
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