81 research outputs found
MONICA in Hamburg: Towards Large-Scale IoT Deployments in a Smart City
Modern cities and metropolitan areas all over the world face new management
challenges in the 21st century primarily due to increasing demands on living
standards by the urban population. These challenges range from climate change,
pollution, transportation, and citizen engagement, to urban planning, and
security threats. The primary goal of a Smart City is to counteract these
problems and mitigate their effects by means of modern ICT to improve urban
administration and infrastructure. Key ideas are to utilise network
communication to inter-connect public authorities; but also to deploy and
integrate numerous sensors and actuators throughout the city infrastructure -
which is also widely known as the Internet of Things (IoT). Thus, IoT
technologies will be an integral part and key enabler to achieve many
objectives of the Smart City vision.
The contributions of this paper are as follows. We first examine a number of
IoT platforms, technologies and network standards that can help to foster a
Smart City environment. Second, we introduce the EU project MONICA which aims
for demonstration of large-scale IoT deployments at public, inner-city events
and give an overview on its IoT platform architecture. And third, we provide a
case-study report on SmartCity activities by the City of Hamburg and provide
insights on recent (on-going) field tests of a vertically integrated,
end-to-end IoT sensor application.Comment: 6 page
MEC-based Mobility Tracking and Safety Service through IoT
L'abstract è presente nell'allegato / the abstract is in the attachmen
IoT Data Processing for Smart City and Semantic Web Applications
The world has been experiencing rapid urbanization over the last few decades,
putting a strain on existing city infrastructure such as waste management,
water supply management, public transport and electricity consumption. We are
also seeing increasing pollution levels in cities threatening the environment,
natural resources and health conditions. However, we must realize that the real
growth lies in urbanization as it provides many opportunities to individuals
for better employment, healthcare and better education. However, it is
imperative to limit the ill effects of rapid urbanization through integrated
action plans to enable the development of growing cities. This gave rise to the
concept of a smart city in which all available information associated with a
city will be utilized systematically for better city management.
The proposed system architecture is divided in subsystems and is discussed in
individual chapters. The first chapter introduces and gives overview to the
reader of the complete system architecture. The second chapter discusses the
data monitoring system and data lake system based on the oneM2M standards. DMS
employs oneM2M as a middleware layer to achieve interoperability, and DLS uses
a multi-tenant architecture with multiple logical databases, enabling efficient
and reliable data management. The third chapter discusses energy monitoring and
electric vehicle charging systems developed to illustrate the applicability of
the oneM2M standards. The fourth chapter discusses the Data Exchange System
based on the Indian Urban Data Exchange framework. DES uses IUDX standard data
schema and open APIs to avoid data silos and enable secure data sharing. The
fifth chapter discusses the 5D-IoT framework that provides uniform data quality
assessment of sensor data with meaningful data descriptions
Mobile crowd sensing architectural frameworks: A comprehensive survey
Mobile Crowd Sensing has emerged as a new sensing paradigm, efficiently exploiting human intelligence and mobility in conjunction with advanced capabilities and proliferation of mobile devices. In order for MCS applications to reach their full potentials, a number of research challenges should be sufficiently addressed. The aim of this paper is to survey representative mobile crowd sensing applications and frameworks proposed in related research literature, analyze their distinct features and discuss on their relative merits and weaknesses, highlighting also potential solutions, in order to take a step closer to the definition of a unified MCS architectural framework
Iot-enabled smart cities: evolution and outlook
For the last decade the Smart City concept has been under development, fostered by the growing urbanization of the world’s population and the need to handle the challenges that such a scenario raises. During this time many Smart City projects have been executed–some as proof-of-concept, but a growing number resulting in permanent, production-level deployments, improving the operation of the city and the quality of life of its citizens. Thus, Smart Cities are still a highly relevant paradigm which needs further development before it reaches its full potential and provides robust and resilient solutions. In this paper, the focus is set on the Internet of Things (IoT) as an enabling technology for the Smart City. In this sense, the paper reviews the current landscape of IoT-enabled Smart Cities, surveying relevant experiences and city initiatives that have embedded IoT within their city services and how they have generated an impact. The paper discusses the key technologies that have been developed and how they are contributing to the realization of the Smart City. Moreover, it presents some challenges that remain open ahead of us and which are the initiatives and technologies that are under development to tackle them.This research was partially funded by Spain State Research Agency (AEI) by means of the project FIERCE: Future Internet Enabled Resilient CitiEs (RTI2018-093475-A-I00). Prof. Song was supported by Smart City R&D project of the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (MOLIT), Ministry of Science and ICT (MSIT) (Grant 18NSPS-B149386-01)
Towards Data Sharing across Decentralized and Federated IoT Data Analytics Platforms
In the past decade the Internet-of-Things concept has overwhelmingly entered all of the fields where data are produced and processed, thus, resulting in a plethora of IoT platforms, typically cloud-based, that centralize data and services management. In this scenario, the development of IoT services in domains such as smart cities, smart industry, e-health, automotive, are possible only for the owner of the IoT deployments or for ad-hoc business one-to-one collaboration agreements. The realization of "smarter" IoT services or even services that are not viable today envisions a complete data sharing with the usage of multiple data sources from multiple parties and the interconnection with other IoT services.
In this context, this work studies several aspects of data sharing focusing on Internet-of-Things. We work towards the hyperconnection of IoT services to analyze data that goes beyond the boundaries of a single IoT system. This thesis presents a data analytics platform that: i) treats data analytics processes as services and decouples their management from the data analytics development; ii) decentralizes the data management and the execution of data analytics services between fog, edge and cloud; iii) federates peers of data analytics platforms managed by multiple parties allowing the design to scale into federation of federations; iv) encompasses intelligent handling of security and data usage control across the federation of decentralized platforms instances to reduce data and service management complexity.
The proposed solution is experimentally evaluated in terms of performances and validated against use cases. Further, this work adopts and extends available standards and open sources, after an analysis of their capabilities, fostering an easier acceptance of the proposed framework. We also report efforts to initiate an IoT services ecosystem among 27 cities in Europe and Korea based on a novel methodology.
We believe that this thesis open a viable path towards a hyperconnection of IoT data and services, minimizing the human effort to manage it, but leaving the full control of the data and service management to the users' will
A study of existing Ontologies in the IoT-domain
Several domains have adopted the increasing use of IoT-based devices to
collect sensor data for generating abstractions and perceptions of the real
world. This sensor data is multi-modal and heterogeneous in nature. This
heterogeneity induces interoperability issues while developing cross-domain
applications, thereby restricting the possibility of reusing sensor data to
develop new applications. As a solution to this, semantic approaches have been
proposed in the literature to tackle problems related to interoperability of
sensor data. Several ontologies have been proposed to handle different aspects
of IoT-based sensor data collection, ranging from discovering the IoT sensors
for data collection to applying reasoning on the collected sensor data for
drawing inferences. In this paper, we survey these existing semantic ontologies
to provide an overview of the recent developments in this field. We highlight
the fundamental ontological concepts (e.g., sensor-capabilities and
context-awareness) required for an IoT-based application, and survey the
existing ontologies which include these concepts. Based on our study, we also
identify the shortcomings of currently available ontologies, which serves as a
stepping stone to state the need for a common unified ontology for the IoT
domain.Comment: Submitted to Elsevier JWS SI on Web semantics for the Internet/Web of
Thing
Embracing the future Internet of Things
All of the objects in the real world are envisioned to be connected and/or represented, through an infrastructure layer, in the virtual world of the Internet, becoming Things with status information. Services are then using the available data from this Internet-of-Things (IoT) for various social and economical benefits which explain its extreme broad usage in very heterogeneous fields. Domain administrations of diverse areas of application developed and deployed their own IoT systems and services following disparate standards and architecture approaches that created a fragmentation of things, infrastructures and services in vertical IoT silos. Coordination and cooperation among IoT systems are the keys to build “smarter” IoT services boosting the benefits magnitude. This article analyses the technical trends of the future IoT world based on the current limitations of the IoT systems and the capability requirements. We propose a hyper-connected IoT framework in which “things” are connected to multiple interdependent services and describe how this framework enables the development of future applications. Moreover, we discuss the major limitations in today’s IoT and highlight the required capabilities in the future. We illustrate this global vision with the help of two concrete instances of the hyper-connected IoT in smart cities and autonomous driving scenarios. Finally, we analyse the trends in the number of connected “things” and point out open issues and future challenges. The proposed hyper-connected IoT framework is meant to scale the benefits of IoT from local to global
From the Internet of Things to the social innovation and the economy of data
Historically, cities and their citizens have led the largest changes that have been taking place continuously, especially since the transition from an agricultural economy to an industrial one. This phenomenon is especially significant from the mid-eighteenth century and it will become more intense if the predictions that establish that, around the year 2050, approximately 70% of the world population will concentrate in some type of city finally come true. With these boundary conditions, it is evident that the achievement of more efficient and sustainable cities is an unavoidable objective for which politicians, managers and technicians must work in order to guarantee the quality of life of their citizens. Although this paradigm of sustainability and efficiency has always been present in the managers of cities, it has not been until very recently that technology has made available to the responsible parties a plethora of possibilities that, when properly employed, translate into significant savings. At the same time, the day-to-day improvement of the citizens is consolidating a new urban concept in which the different processes and systems that occur in it are continuously monitored in both time and space. This paper reviews the evolution of one of the pioneering examples of such cities, Santander, where an Internet of the Things infrastructure was deployed a decade ago. In this time, multiple technologies and services have been developed and deployed in smart city pilots. The paper discusses the key lessons learnt from the digitalization of the city and the new challenges that have arisen as we were paving the way for a smarter and more liveable city.This work has been funded by the Spanish Government (MINECO) under Grant Agreement No. RTI2018-093475-A-I00 FIERCE (Future Internet Enabled Resilient smart CitiEs) project
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