achieve their goal, they required a reliable hardware and software solution which could fulfill
their criteria.
NutzerWelten was not named randomly. The term means “user’s world”—it envisions the
requirement of the project to empower users in their own worlds. The project’s vision included
helping others in identifying if they are lost or not or guide them to their room. Essentially, the
project was focused to build a complete support system through which any aected person
could easily enhance their daily operations.
Current Setup
Today, the system of NutzerWelten is founded on the basis of Raspberry Pi. It acts as a server
and groups all the technical devices in the home. Around 23 households use Pi. Observations
were done to observe the impact of Pi in two types of homes: Those who used Pi and those who
didn’t. In conclusion, it was found out that the patients were having more convenience due to
Pi’s systems as they were able to improve their working of daily tasks.
Community Power
The project received ample help from Pi’s massive community. The team found out several
common issues and their answers. As a result, the project’s development was quickened.
Several students group expressed interest in the project and took their part in the project. Pi
helped the team to get the latest data which was duplicated on SD cards and distributed to
the students who could use the same revision. Hence, development was extremely flexible
and ecient.
Version
In the beginning, the team used Raspberry Pi 2. Subsequently, they progressed and moved
towards Pi2 model B and then moved towards Pi 3 Model 3 which had support for Bluetooth
connectivity and wireless LAN. Currently, the team is using Pi Model B+ which has a built-in
WiFi. Additionally, its computing capabilities have become a lot more powerful due to the pres-
ence of a quad-core processor.
Future
Lack of funds meant that the study was not on a large scale. However, the team is hope-
ful to enhance their system as they are receiving a positive response. The team hopes that
since their solution is open-source, thus commercial entities can take advantage of their
work and use stronger tools to improve it. All the sensors like hardware components were
designed from scratch while the installation of wireless communication was also done by
the team.
Currently, the team has been collaborated with a number of companies which has helped
them to get a much stronger toolkit to take their solution to the next level.
In the end, the team is optimistic that demented patients could use their Pi home system
or utilize any similar system to get a shot at a better life. The team believes that if they are able
to provide Pi and the complete hardware and software package to the aected, then they could
facilitate those without tech knowledge.
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Recommended Readings
1. ARMOUR: Large-scale experiments for IoT security & trust
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
The IoT is composed of a global network of heterogeneous devices that exchange information with each
other. In this kind of scenarios, the number of smart objects is increasingly high, which enhances the possibility
of attacks that compromise security, privacy and trust of the exchanged information. Thus, the need to provide
duly tested, benchmarked and certified security and trust solutions for large-scale IoT arises in order to solve
these risks. In this direction, this paper presents ARMOUR, a research project in which a methodology to
experiment, validate and certify dierent technological solutions in large-scale conditions is defined. Addi-
tionally, a set of bootstrapping, group sharing and software programming experiments is proposed, on which
dierent tests will be executed with the purpose to verify their security and trust in IoT scenarios.
2. IoT Remote Group Experiments in the Cyber Laboratory: A FPGA-based Remote
Laboratory in the Hybrid Cloud
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
In accordance with the resent advancement in Internet of Things (IoT), the needs for IoT experiment plat-
form have been ever increasing. IoT system consists of various technologies such as networking, sensor control-
ler, edge-side computing, server-side big data collections, analysis and their visualizations. An experimental
environment that can handle the development and experiments of such an IoT system becomes important.
In the IoT system, a highly flexible system structure for applications using Field Programmable Gate Array
(FPGA) is required. The authors propose the Remote Laboratory System for handling IoT experiments in
the Cyber Laboratory, which is an educational FPGA-based remote laboratory for undergraduate university
students. It enables not only to use available board-level small computers but also to use FPGA boards for
prototyping IoT edges. It can also organize the IoT cloud-server side programs in the hybrid cloud. The FPGA
based edge-side computing approach can have much more freedom and flexibility to implement various sensor
controls those can be customized for specific IoT applications. The use of free micro-processor IP-core and re-or-
ganizing the available FPGA CAD design platform allows us to reduce the burden of design and implemen-
tation eorts for the construction of a new Cyber Laboratory to accommodate IoT designs and experiments.
It also contributed to reduce the students’ amount of eorts to conduct their own IoT design and experiments,
where students are required to have various skills in Information Technologies (IT): hardware design, edge-side
computing, and server-side computing, networking and infrastructure construction. The use of the Docker
container/Swarm and the Docker File contributed to construct their own IoT experiment platforms for every
student automatically, in the form of “Infrastructure as Code”. Furthermore, these separately designed IoT
experiment platforms can be combined to conduct a group of group experiment simultaneously. The paper
showed the Cyber Laboratory’s usefulness and applicability for IoT kinds of Remote experiments.
3. Remote Virtual Experiment and Simulation Platform for IoT Related Courses
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
With the continuous development of the Internet of Things (IoT)., the complexity of terminal hardware
devices and networks involved in IoT research is gradually increasing. It will take a lot of unnecessary time
Chapter 13 Hands-On Examples of IoT Experiments 345
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to build the physical experimental network, without the flexibility of changing at any time. And it is also
not convenient to observe the experimental results in complex experiments. Therefore, the establishment of
a virtual experimental platform can simplify the experimental operation. At the same time, along with the
progress of the computer network technology, the traditional mode of experimental teaching is experiencing
the revolutionary change, for example, using the remote experiment platform anywhere for networking related
experiments. In this paper, we use the technology of IoT to enable virtual remote experiments for IoT related
courses. Students can upload their program codes and configurations, observe the experiment results anywhere
anytime via Internet. Teachers can view the work schedule, manage students and evaluate their experiment
operations without worrying about the cost of devices and the unexpected damage.
4. Scientific Experiments with the Large Scale Open Testbed IoT-LAB: Broadcast with Network
Coding
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
The demonstration presents a network coding broadcast protocol experiment running on a remote open
testbed, IoT-LAB. The emphasis is on both parts, which are ideally fitting and complementary: the use of testbed
IoT-LAB, and a protocol for broadcast with network coding. IoT-LAB is a very large scale testbed, remotely acces-
sible, and includes a total of 2728 nodes (in 6 sites), the nodes are mostly of type “wireless sensor nodes” with one
wireless radio transceiver, and are well suited to perform wireless protocol experiments. On the other hand, network
coding is a technique perfectly fitted to multi-hop wireless networks with lossy links, in some cases and conditions,
it may even outperform any scheme using routing (non-coding): we had designed a generic broadcast protocol,
called DRAGONCAST based on network coding for such networks, and which minimizes the assumptions made
of the networks. A variant of this protocol was run on IoT-LAB: some results were presented previously. The
demonstration is a live demonstration of the protocol on the newer nodes of IoT-LAB.
5. WE-Safe: A wearable IoT sensor node for safety applications via LoRa
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
This paper presents a wearable Internet of Things (IoT) sensor node aimed at monitoring harmful envi-
ronmental conditions for safety applications via LoRa wireless technology. The proposed sensor node is low-
power and supports multiple environmental sensors. A LoRa based gateway is used to connect sensors to the
Internet. We mainly focus on monitoring carbon monoxide, carbon dioxide, ultraviolet, and some general envi-
ronmental parameters. Poor environment quality could cause severe health problems for individuals. Therefore,
surrounding environmental data is gathered by the wearable node in a real-time manner and then transmitted
to a remote cloud server. The data can then be displayed to authorized users through a web-based application
located in the cloud server and the device will give alert to the user via mobile application when an emergency
condition occurs. The experimental results indicate that our safety monitoring network can work reliably with
low power consumption.
6. Abstracting IoT devices using a virtual machine for wireless sensor nodes
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
In the field of IoT, the abstracting of IoT devices is one of the important technologies. In order to abstract
IoT devices, we has developed a virtual machine (VM) for wireless sensor nodes. Since the VM is based on
Common Language Infrastructure of .NET Framework, users can develop a program on the IoT devices using
346 Internet of Things
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Microsoft development environment (Visual Studio) and the languages such as Visual C# or C++. In addition,
users can update the program on the IoT devices through the wireless sensor network. They don’t need to collect
the sensor nodes in the environment for changing the behavior of the sensor network. In this paper, we introduce
our sensor network system using the VM and the use cases.
7. Array of Semiconductor Nanowires Gas Sensor for IoT in Wastewater Management
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
The system of sensors of volatile compounds S3 based on nanowires metal oxide semiconductors have
been developed to detect anomalous industrial discharges and their spatial location through the continuous
qualitative observation of the sewage euents typical microbiological footprint belonging to the Brescia puri-
fication system of A2A CicloIdrico.
8. Wireless Sensor Networks for Eective Environmental Tracking System Using IoT and
Sensors
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
The technology wave that we’ll be connecting billions of objects to the internet and it is happening now
internet connectivity allows objects to have their own identities as well as receive and communicate valuable
information making them quote unquote smart what kinds of things are being connected today and how are
they helping us. In 2009, Kevin Ashtonin can be achieved by Internet of Things. The Internet of Things (IoT)
produce a fundamental view, by the Internet Protocol, to a large variety of real-life objects, starting from a car,
to a tea cup, to a building, to trees in a forest. NFC, Universal Product Code, Quick Response codes, and dig-
ital watermarking these technologies are achieved by using RFID. Equipping all objects inside the world with
minuscule locating gadgets or devices readable identifiers will be transformative of normal lifestyles. In this
paper implements a long-term environmental monitoring system by using IoT and sensors. The application
are less cost, a large number of sensors, fast deployment, long lifetime, less maintenance, and large satisfactory
of service are taken into consideration in the detail and design of the platform and of all its components. Low-
power platform reuse is also likewise taken into consideration opening from the specifications and at all design
levels for a wide array of relevant monitoring applications.
9. Dynamic performance of smart sensor network using IoT
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Abstract:
Wireless sensor networks (WSN) are also called wireless sensor and actuator networks. These networks
are used to monitor physical or environmental conditions like temperature, sound, and pressure. The internet
of things is the network of physical objects such as devices, vehicles, and buildings, which are embedded with
electronics, software, sensors that are used to collect and exchange data. Some of the issues in this paper
are medium access scheme, localization, deployment, network layer, QOS. We can overcome these issues
by using the algorithm of SSNI (smart sensor network in IoT). Two methods are used. They are clustering
and routing.
10. Wireless and Low-Power Water Quality Monitoring Beat Sensors For Agri and Acqua-
Culture IoT Applications
Link: https://ieeexplore.ieee.org (Accessed on 01 July 2019)
Chapter 13 Hands-On Examples of IoT Experiments 347
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