8,204 research outputs found
When Things Matter: A Data-Centric View of the Internet of Things
With the recent advances in radio-frequency identification (RFID), low-cost
wireless sensor devices, and Web technologies, the Internet of Things (IoT)
approach has gained momentum in connecting everyday objects to the Internet and
facilitating machine-to-human and machine-to-machine communication with the
physical world. While IoT offers the capability to connect and integrate both
digital and physical entities, enabling a whole new class of applications and
services, several significant challenges need to be addressed before these
applications and services can be fully realized. A fundamental challenge
centers around managing IoT data, typically produced in dynamic and volatile
environments, which is not only extremely large in scale and volume, but also
noisy, and continuous. This article surveys the main techniques and
state-of-the-art research efforts in IoT from data-centric perspectives,
including data stream processing, data storage models, complex event
processing, and searching in IoT. Open research issues for IoT data management
are also discussed
Investigating the Efficiency of ITS Cooperative Systems for a Better Use of Urban Transport Infrastructures: The iTETRIS Simulation Platform
The use of cooperative ITS communication systems,
supporting driving through the dynamic exchange of Vehicle-to-
Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) messages, is a
potential candidate to improve the economical and societal
welfare. The application of such systems for novel cooperative
traffic management strategies can introduce a lot of beneficial
effects not only for road safety, but also for the economy related
to transportation systems and the environmental impact. Despite
this apparent set of promising features, City Road Authorities,
which hold a key-role in determining the final adoption of such
systems, still look at cooperative systems without sharing a clear
opinion. This is mainly due to the current lack of definitive and
solid evidences of the effectiveness of such systems when applied
in the real world. In order to fill this gap and let Road
Authorities estimate the usefulness of such technologies in
achieving the objectives dictated by cities’ traffic management
policies, the EU consortium iTETRIS is developing a simulation
platform for large scale testing of traffic management solutions
making use of cooperative ITS systems. Thanks to its own
distinguishing features, iTETRIS aims at becoming a good
supporting tool for Road Authorities to implement preliminary
tests on the effectiveness of ITS solutions prior to investing
money for the physical deployment of the communication
infrastructures allowing their functioning
Software Platforms for Smart Cities: Concepts, Requirements, Challenges, and a Unified Reference Architecture
Making cities smarter help improve city services and increase citizens'
quality of life. Information and communication technologies (ICT) are
fundamental for progressing towards smarter city environments. Smart City
software platforms potentially support the development and integration of Smart
City applications. However, the ICT community must overcome current significant
technological and scientific challenges before these platforms can be widely
used. This paper surveys the state-of-the-art in software platforms for Smart
Cities. We analyzed 23 projects with respect to the most used enabling
technologies, as well as functional and non-functional requirements,
classifying them into four categories: Cyber-Physical Systems, Internet of
Things, Big Data, and Cloud Computing. Based on these results, we derived a
reference architecture to guide the development of next-generation software
platforms for Smart Cities. Finally, we enumerated the most frequently cited
open research challenges, and discussed future opportunities. This survey gives
important references for helping application developers, city managers, system
operators, end-users, and Smart City researchers to make project, investment,
and research decisions.Comment: Accepted for publication in ACM Computing Survey
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