H2020Индивидуална стипендия2019–2021

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

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2019-04-01 → 2021-10-29
Финансиране от ЕС: 145 356 €
Участници: 1
Схема: MSCA-IF-EF-RI

Линиите свързват координатора с партньорите.

Накратко на български

Качеството на връзката между устройствата в умните градове, като например интелигентните улични лампи, се изследва чрез предвиждащи мрежи. Това е важно, за да се осигурят надеждност и ниско закъснение при огромния брой свързани обекти в бъдещите 6G мрежи.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

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

Fifth Generation (5G) cellular systems are already being deployed, which will make an enormous impact on our lives: These systems enable a variety of applications, such as remote surgery (as part of the Tactile Internet), augmented (virtual) reality, industrial and vehicular automation, autonomous driving, enhanced mobile broadband as well as Internet of Things (IoT). These applications will become an important part of our digitally connected lives and form the new infrastructure of the smart cities of the new future. Among these applications, IoT appears as a key enabler of technologies that will be deployed in smart cities. Applications of IoT range from smart bins that indicate to the municipality when they are full, smart lamp posts that adjust their lighting in response to the needs of pedestrians and cars while reducing energy consumption, and a plethora of other services that smart cities will provide to their dwellers in smart hospitals, homes, factories and transportation. While 5G provides the necessary initial infrastructure world-wide for these diverse services to take off, the evolution towards Sixth Generation (6G) networks brings new challenges, especially in regard to Quality of Service (QoS), which refers to a diverse set of requirements that must be satisfied by the telecommunication network in order to deliver a smooth experience to its human users. The goal of this project is to enable the delivery of Quality of Service (QoS) for the Internet of Things (IoT) in smart cities. Since seventy-five billion IoT devices are expected to be on the Internet by the year 2025, satisfying QoS for IoT is extremely challenging, as the problems of scalability, latency, reliability, energy efficiency and mobility must be solved jointly. Towards this goal, 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.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

YASAR UNIVERSITESI · İzmirКоординаторТурция