740 research outputs found
Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions
Traditional power grids are being transformed into Smart Grids (SGs) to
address the issues in existing power system due to uni-directional information
flow, energy wastage, growing energy demand, reliability and security. SGs
offer bi-directional energy flow between service providers and consumers,
involving power generation, transmission, distribution and utilization systems.
SGs employ various devices for the monitoring, analysis and control of the
grid, deployed at power plants, distribution centers and in consumers' premises
in a very large number. Hence, an SG requires connectivity, automation and the
tracking of such devices. This is achieved with the help of Internet of Things
(IoT). IoT helps SG systems to support various network functions throughout the
generation, transmission, distribution and consumption of energy by
incorporating IoT devices (such as sensors, actuators and smart meters), as
well as by providing the connectivity, automation and tracking for such
devices. In this paper, we provide a comprehensive survey on IoT-aided SG
systems, which includes the existing architectures, applications and prototypes
of IoT-aided SG systems. This survey also highlights the open issues,
challenges and future research directions for IoT-aided SG systems
Design and evaluation of a self-configuring wireless mesh network architecture
Wireless network connectivity plays an increasingly important role in supporting our everyday private and professional lives. For over three decades, self-organizing wireless multi-hop ad-hoc networks have been investigated as a decentralized replacement for the traditional forms of wireless networks that rely on a wired infrastructure. However, despite the tremendous efforts of the international wireless research community and widespread availability of devices that are able to support these networks, wireless ad-hoc networks are hardly ever used.
In this work, the reasons behind this discrepancy are investigated. It is found that several basic theoretical assumptions on ad-hoc networks prove to be wrong when solutions are deployed in reality, and that several basic functionalities are still missing. It is argued that a hierarchical wireless mesh network architecture, in which specialized, multi-interfaced mesh nodes form a reliable multi-hop wireless backbone for the less capable end-user clients is an essential step in bringing the ad-hoc networking concept one step closer to reality.
Therefore, in a second part of this work, algorithms increasing the reliability and supporting the deployment and management of these wireless mesh networks are developed, implemented and evaluated, while keeping the observed limitations and practical considerations in mind. Furthermore, the feasibility of the algorithms is verified by experiment.
The performance analysis of these protocols and the ability to deploy the developed algorithms on current generation off-the-shelf hardware indicates the successfulness of the followed research approach, which combines theoretical considerations with practical implementations and observations. However, it was found that there are also many pitfalls to using real-life implementation as a research technique. Therefore, in the last part of this work, a methodology for wireless network research using real-life implementation is developed, allowing researchers to generate more reliable protocols and performance analysis results with less effort
Hybrid SDN Evolution: A Comprehensive Survey of the State-of-the-Art
Software-Defined Networking (SDN) is an evolutionary networking paradigm
which has been adopted by large network and cloud providers, among which are
Tech Giants. However, embracing a new and futuristic paradigm as an alternative
to well-established and mature legacy networking paradigm requires a lot of
time along with considerable financial resources and technical expertise.
Consequently, many enterprises can not afford it. A compromise solution then is
a hybrid networking environment (a.k.a. Hybrid SDN (hSDN)) in which SDN
functionalities are leveraged while existing traditional network
infrastructures are acknowledged. Recently, hSDN has been seen as a viable
networking solution for a diverse range of businesses and organizations.
Accordingly, the body of literature on hSDN research has improved remarkably.
On this account, we present this paper as a comprehensive state-of-the-art
survey which expands upon hSDN from many different perspectives
Decision Agriculture
In this chapter, the latest developments in the field of decision agriculture are discussed. The practice of management zones in digital agriculture is described for efficient and smart faming. Accordingly, the methodology for delineating management zones is presented. Modeling of decision support systems is explained along with discussion of the issues and challenges in this area. Moreover, the precision agriculture technology is also considered. Moreover, the chapter surveys the state of the decision agriculture technologies in the countries such as Bulgaria, Denmark, France, Israel, Malaysia, Pakistan, United Kingdom, Ukraine, and Sweden. Finally, different field factors such as GPS accuracy and crop growth are also analyzed
Current Advances in Internet of Underground Things
The latest developments in Internet of Underground Things are covered in this chapter. First, the IOUT Architecture is discussed followed by the explanation of the challenges being faced in this paradigm. Moreover, a comprehensive coverage of the different IOUT components is presented that includes communications, sensing, and system integration with the cloud. An in-depth coverage of the applications of the IOUT in various disciplines is also surveyed. These applications include areas such as decision agriculture, pipeline monitoring, border control, and oil wells
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Design and development of an SDN robotic system with intelligent openflow IOT testbeds for power assessment, prediction and fault management
This thesis was submitted for the award of Docctor of Philosophy and was awarded by Brunel University LondonCurrent wind turbine and power grid industry have relatively little research and
development with regards to implementing novel communication network and intel-
ligent system to overcome issues that pertain to network failure and lack of monitor-
ing. Wind turbine location could be a big concern when it comes to identifying an
efficient location for future wind turbine and the impact of a site with non-efficient
meteorological parameters can result in relocation of a wind turbine and revenue-
loss. Unplanned wind turbine shutdowns that are considered to be one of the major
revenue-loss factors of a modern wind farm business. Typically, the unplanned wind
turbine shutdown is a result of sensors fail due to harsh environment challenges that
prevent hardware status from being available on the monitoring system. The above
mentioned research problems pertain to wind turbine site assessment and predic-
tion of power. In this thesis, a novel programmable software-defined robotics and
IoT testbeds are proposed with the fusion of Artificial Intelligence and optimiza-
tion methods to solve specific problems related to wind turbine site assessment and
fault management. The site selection process is implemented using proposed aerial
and ground robotic systems that are incorporated with Software-Defined Networks
and OpenFlow switching capabilities. A second stage development of the system is
proposing a prediction platform that run on the aerial robot cluster using neural net-
works optimization regression techniques. To overcome the unplanned wind turbine
network outage, an IoT micro cloud cluster system is proposed that act as immedi-
ate fail-over platform to provide continuous health readings of the wind turbine to
ensure the turbine in question will not get shutdown unnecessarily. The proposed
system help in minimizing revenue-loss caused by stopping a wind turbine from op-
eration and help maintain generated power stability on the grid. Additionally, since
large wind farms require an agile and scalable management of selecting the most
efficient wind turbine location install. Thus, a softwarized cognitive routing proto-
col is proposed. The group of quadcopters is a redundant failover Software-Defined
Network/OpenFlow system that can cover every single way point of the farm land.
Although, power consumption is essential for the continuity the service, a Software-
Defined charging system testbed is proposed that uses inductive power transfer wit
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