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QoSIoTSmartCities SIGNED

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

Total Cost €

EC-Contrib. €

Partnership

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QoSIoTSmartCities project word cloud

Explore the words cloud of the QoSIoTSmartCities project. It provides you a very rough idea of what is the project "QoSIoTSmartCities" about.

representative optimization latency estimate billion jointly reliability things internet incorporation planning service solved energy cities protocol regard layers mobile stack model mobility section scalable 2020 standards simulation iot networks smart traffic forecasting predict algorithms wireless quality network predictive city connected efficiency scalability qos

Project "QoSIoTSmartCities" data sheet

The following table provides information about the project.

Coordinator	YASAR UNIVERSITESI Organization address address: UNIVERSITE CADDESI 35-37 AGACLIYOL city: IZMIR postcode: 35100 website: www.yasar.edu.tr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Turkey [TR]
Total cost	145˙355 €
EC max contribution	145˙355 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2018
Funding Scheme	MSCA-IF-EF-RI
Starting year	2019
Duration (year-month-day)	from 2019-04-01 to 2021-03-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	YASAR UNIVERSITESI YASAR UNIVERSITESI Organization address address: UNIVERSITE CADDESI 35-37 AGACLIYOL city: IZMIR postcode: 35100 website: www.yasar.edu.tr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	TR (IZMIR)	coordinator	145˙355.00

Map

Project 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.

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The information about "QOSIOTSMARTCITIES" are provided by the European Opendata Portal: CORDIS opendata.