31,937 research outputs found
Data Management in Industry 4.0: State of the Art and Open Challenges
Information and communication technologies are permeating all aspects of
industrial and manufacturing systems, expediting the generation of large
volumes of industrial data. This article surveys the recent literature on data
management as it applies to networked industrial environments and identifies
several open research challenges for the future. As a first step, we extract
important data properties (volume, variety, traffic, criticality) and identify
the corresponding data enabling technologies of diverse fundamental industrial
use cases, based on practical applications. Secondly, we provide a detailed
outline of recent industrial architectural designs with respect to their data
management philosophy (data presence, data coordination, data computation) and
the extent of their distributiveness. Then, we conduct a holistic survey of the
recent literature from which we derive a taxonomy of the latest advances on
industrial data enabling technologies and data centric services, spanning all
the way from the field level deep in the physical deployments, up to the cloud
and applications level. Finally, motivated by the rich conclusions of this
critical analysis, we identify interesting open challenges for future research.
The concepts presented in this article thematically cover the largest part of
the industrial automation pyramid layers. Our approach is multidisciplinary, as
the selected publications were drawn from two fields; the communications,
networking and computation field as well as the industrial, manufacturing and
automation field. The article can help the readers to deeply understand how
data management is currently applied in networked industrial environments, and
select interesting open research opportunities to pursue
Internet of Things: An Overview
As technology proceeds and the number of smart devices continues to grow
substantially, need for ubiquitous context-aware platforms that support
interconnected, heterogeneous, and distributed network of devices has given
rise to what is referred today as Internet-of-Things. However, paving the path
for achieving aforementioned objectives and making the IoT paradigm more
tangible requires integration and convergence of different knowledge and
research domains, covering aspects from identification and communication to
resource discovery and service integration. Through this chapter, we aim to
highlight researches in topics including proposed architectures, security and
privacy, network communication means and protocols, and eventually conclude by
providing future directions and open challenges facing the IoT development.Comment: Keywords: Internet of Things; IoT; Web of Things; Cloud of Thing
Mobile Edge Cloud: Opportunities and Challenges
Mobile edge cloud is emerging as a promising technology to the internet of
things and cyber-physical system applications such as smart home and
intelligent video surveillance. In a smart home, various sensors are deployed
to monitor the home environment and physiological health of individuals. The
data collected by sensors are sent to an application, where numerous algorithms
for emotion and sentiment detection, activity recognition and situation
management are applied to provide healthcare- and emergency-related services
and to manage resources at the home. The executions of these algorithms require
a vast amount of computing and storage resources. To address the issue, the
conventional approach is to send the collected data to an application on an
internet cloud. This approach has several problems such as high communication
latency, communication energy consumption and unnecessary data traffic to the
core network. To overcome the drawbacks of the conventional cloud-based
approach, a new system called mobile edge cloud is proposed. In mobile edge
cloud, multiple mobiles and stationary devices interconnected through wireless
local area networks are combined to create a small cloud infrastructure at a
local physical area such as a home. Compared to traditional mobile distributed
computing systems, mobile edge cloud introduces several complex challenges due
to the heterogeneous computing environment, heterogeneous and dynamic network
environment, node mobility, and limited battery power. The real-time
requirements associated with the internet of things and cyber-physical system
applications make the problem even more challenging. In this paper, we describe
the applications and challenges associated with the design and development of
mobile edge cloud system and propose an architecture based on a cross layer
design approach for effective decision making.Comment: 4th Annual Conference on Computational Science and Computational
Intelligence, December 14-16, 2017, Las Vegas, Nevada, USA. arXiv admin note:
text overlap with arXiv:1810.0704
Indoor Location for Smart Environments with Wireless Sensor and Actuator Networks
Smart environments interconnect indoor building environments, indoor wireless
sensor and actuator networks, smartphones, and human together to provide smart
infrastructure management and intelligent user experiences. To enable the
"smart" operations, a complete set of hardware and software components are
required. In this work, we present Smart Syndesi, a system for creating indoor
location-aware smart building environments using wireless sensor and actuator
networks (WSANs). Smart Syndesi includes an indoor tracking system, a WSAN for
indoor environmental monitoring and activation automation, and a gateway
interconnecting WSAN, tracking system with mobile users.The indoor positioning
system tracks the real-time location of occupants with high accuracy, which
works as a basis for indoor location-based sensor actuation automation.To show
how the multiple software/hardware components are integrated, we implemented
the system prototype and performed intensive experiments in indoor office
environments to automate the indoor location-driven environmental sensor
monitoring and activation process. The tracked indoor location of a user's
smartphone triggers the retrieval of environmental measurements and activates
the actuators automatically (i.e. turn on/off lights, switch on/off fans) based
on the location and correlated environmental sensor information
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
The ongoing deployment of 5G cellular systems is continuously exposing the
inherent limitations of this system, compared to its original premise as an
enabler for Internet of Everything applications. These 5G drawbacks are
currently spurring worldwide activities focused on defining the next-generation
6G wireless system that can truly integrate far-reaching applications ranging
from autonomous systems to extended reality and haptics. Despite recent 6G
initiatives1, the fundamental architectural and performance components of the
system remain largely undefined. In this paper, we present a holistic,
forward-looking vision that defines the tenets of a 6G system. We opine that 6G
will not be a mere exploration of more spectrum at high-frequency bands, but it
will rather be a convergence of upcoming technological trends driven by
exciting, underlying services. In this regard, we first identify the primary
drivers of 6G systems, in terms of applications and accompanying technological
trends. Then, we propose a new set of service classes and expose their target
6G performance requirements. We then identify the enabling technologies for the
introduced 6G services and outline a comprehensive research agenda that
leverages those technologies. We conclude by providing concrete recommendations
for the roadmap toward 6G. Ultimately, the intent of this article is to serve
as a basis for stimulating more out-of-the-box research around 6G.Comment: This paper has been accepted by IEEE Networ
The Role of Big Data Analytics in Industrial Internet of Things
Big data production in industrial Internet of Things (IIoT) is evident due to
the massive deployment of sensors and Internet of Things (IoT) devices.
However, big data processing is challenging due to limited computational,
networking and storage resources at IoT device-end. Big data analytics (BDA) is
expected to provide operational- and customer-level intelligence in IIoT
systems. Although numerous studies on IIoT and BDA exist, only a few studies
have explored the convergence of the two paradigms. In this study, we
investigate the recent BDA technologies, algorithms and techniques that can
lead to the development of intelligent IIoT systems. We devise a taxonomy by
classifying and categorising the literature on the basis of important
parameters (e.g. data sources, analytics tools, analytics techniques,
requirements, industrial analytics applications and analytics types). We
present the frameworks and case studies of the various enterprises that have
benefited from BDA. We also enumerate the considerable opportunities introduced
by BDA in IIoT.We identify and discuss the indispensable challenges that remain
to be addressed as future research directions as well
Internet of Things: Applications and Challenges in Technology and Standardization
The phrase Internet of Things (IoT) heralds a vision of the future Internet
where connecting physical things, from banknotes to bicycles, through a network
will let them take an active part in the Internet, exchanging information about
themselves and their surroundings. This will give immediate access to
information about the physical world and the objects in it leading to
innovative services and increase in efficiency and productivity. This paper
studies the state-of-the-art of IoT and presents the key technological
drivers,potential applications, challenges and future research areas in the
domain of IoT. IoT definitions from different perspective in academic and
industry communities are also discussed and compared. Finally some major issues
of future research in IoT are identified and discussed briefly.Comment: 24 pages, 3 figures; Special Issue: Distributed and Secure Cloud
Clustering (DISC
Security for Cyber-Physical Systems: Leveraging Cellular Networks and Fog Computing
The reach and scale of Cyber Physical Systems (CPS) are expanding to many
aspects of our everyday lives. Health, safety, transportation and education are
a few areas where CPS are increasingly prevalent. There is a pressing need to
secure CPS, both at the edge and at the network core. We present a hybrid
framework for securing CPS that leverages the computational resources and
coordination of Fog networks, and builds on cellular connectivity for low-power
and resource constrained CPS devices. The routine support for cellular
authentication, encryption, and integrity protection is enhanced with the
addition of a cellular cloud controller to take over the management of the
radio and core security contexts dedicated to CPS devices. Specialized cellular
cloudlets liaison with core network components to implement localized and
network-wide defense for denial-or-service, smart jamming, or unauthorized CPS
tracking attacks. A comparison between our framework and recent cellular/fog
solutions is provided, together with a feasibility analysis for operational
framework deployment. We conclude with future research directions that we
believe are pivotal to the proliferation of secure and scalable CPS.Comment: IEEE CNS 201
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions
The Internet of Things (IoT) paradigm is being rapidly adopted for the
creation of smart environments in various domains. The IoT-enabled
Cyber-Physical Systems (CPSs) associated with smart city, healthcare, Industry
4.0 and Agtech handle a huge volume of data and require data processing
services from different types of applications in real-time. The Cloud-centric
execution of IoT applications barely meets such requirements as the Cloud
datacentres reside at a multi-hop distance from the IoT devices. \textit{Fog
computing}, an extension of Cloud at the edge network, can execute these
applications closer to data sources. Thus, Fog computing can improve
application service delivery time and resist network congestion. However, the
Fog nodes are highly distributed, heterogeneous and most of them are
constrained in resources and spatial sharing. Therefore, efficient management
of applications is necessary to fully exploit the capabilities of Fog nodes. In
this work, we investigate the existing application management strategies in Fog
computing and review them in terms of architecture, placement and maintenance.
Additionally, we propose a comprehensive taxonomy and highlight the research
gaps in Fog-based application management. We also discuss a perspective model
and provide future research directions for further improvement of application
management in Fog computing
Understanding Security Requirements and Challenges in Internet of Things (IoTs): A Review
Internet of Things (IoT) is realized by the idea of free flow of information
amongst various low power embedded devices that use Internet to communicate
with one another. It is predicted that the IoT will be widely deployed and it
will find applicability in various domains of life. Demands of IoT have lately
attracted huge attention and organizations are excited about the business value
of the data that will be generated by the IoT paradigm. On the other hand, IoT
have various security and privacy concerns for the end users that limit its
proliferation. In this paper we have identified, categorized and discussed
various security challenges and state of the art efforts to resolve these
challenges
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