implants worn by hearing impaired users. They can also be equipped with additional safety features. These features can include sensors that monitor for medical emergencies such as falls or seizures. Smart home
technology applied in this way can provide users with more freedom and a higher quality of life.
Commercial applications
Medical and healthcare
The Internet of Medical Things (also called the internet of health things) is an application of the IoT for
medical and health related purposes, data collection and analysis for research, and monitoring. This ‘Smart
Healthcare’, as it can also be called, led to the creation of a digitized healthcare system, connecting available
medical resources and healthcare services.
IoT devices can be used to enable remote health monitoring and emergency notification systems. These health
monitoring devices can range from blood pressure and heart rate monitors to advanced devices capable of monitoring specialized implants, such as pacemakers, Fitbit electronic wristbands, or advanced hearing aids.
Some hospitals have begun implementing “smart beds” that can detect when they are occupied and when
a patient is attempting to get up. It can also adjust itself to ensure appropriate pressure and support is
applied to the patient without the manual interaction of nurses. A 2015 Goldman Sachs report indicated that
healthcare IoT devices “can save the United States more than $300 billion in annual healthcare expenditures
by increasing revenue and decreasing cost.” Moreover, the use of mobile devices to support medical follow-up
led to the creation of ‘m-health’, used “to analyze, capture, transmit and store health statistics from multiple resources, including sensors and other biomedical acquisition systems”.
Specialized sensors can also be equipped within living spaces to monitor the health and general well-being of
senior citizens, while also ensuring that proper treatment is being administered and assisting people regain
lost mobility via therapy as well. These sensors create a network of intelligent sensors that are able to
collect, process, transfer and analyse valuable information in different environments, such as connecting inhome
monitoring devices to hospital-based systems. Other consumer devices to encourage healthy living,
such as connected scales or wearable heart monitors, are also a possibility with the IoT. End-to-end health
monitoring IoT platforms are also available for antenatal and chronic patients, helping one manage health
vitals and recurring medication requirements.
As of 2018 IoMT was not only being applied in the clinical laboratory industry, but also in the healthcare
and health insurance industries. IoMT in the healthcare industry is now permitting doctors, patients and
others involved (i.e. guardians of patients, nurses, families, etc.) to be part of a system, where patient
records are saved in a database, allowing doctors and the rest of the medical staff to have access to the
patient’s information. Moreover, IoT-based systems are patient-centered, which involves being flexible to
the patient’s medical conditions. IoMT in the insurance industry provides access to better and new types of
dynamic information. This includes sensor-based solutions such as biosensors, wearables, connected health
devices and mobile apps to track customer behaviour. This can lead to more accurate underwriting and new
pricing models.
Transportation
The IoT can assist in the integration of communications, control, and information processing across various
transportation systems. Application of the IoT extends to all aspects of transportation systems (i.e. thevehicle, the infrastructure, and the driver or user). Dynamic interaction between these components of a
transport system enables inter and intra vehicular communication, smart traffic control, smart parking, electronic
toll collection systems, logistic and fleet management, vehicle control, and safety and road assistance.
In Logistics and Fleet Management for example, The IoT platform can continuously monitor the location
and conditions of cargo and assets via wireless sensors and send specific alerts when management exceptions
occur (delays, damages, thefts, etc.). If combined with Machine Learning then it also helps in reducing traffic
accidents by introducing drowsiness alerts to drivers and providing self driven cars too.
Building and home automation
IoT devices can be used to monitor and control the mechanical, electrical and electronic systems used in
various types of buildings (e.g., public and private, industrial, institutions, or residential) in home automation
and building automation systems. In this context, three main areas are being covered in literature:
The integration of the Internet with building energy management systems in order to create energy efficient
and IOT driven “smart buildings”.
The possible means of real-time monitoring for reducing energy consumption and monitoring occupant
behaviors.
The integration of smart devices in the built environment and how they might to know who to be used in
future applications.
Industrial applications
Manufacturing
The IoT can realize the seamless integration of various manufacturing devices equipped with sensing, identification, processing, communication, actuation, and networking capabilities. Based on such a highly integrated
smart cyberphysical space, it opens the door to create whole new business and market opportunities for manufacturing.
Network control and management of manufacturing equipment, asset and situation management,
or manufacturing process control bring the IoT within the realm of industrial applications and smart manufacturing
as well. The IoT intelligent systems enable rapid manufacturing of new products, dynamic response to product demands, and real-time optimization of manufacturing production and supply chain networks,
by networking machinery, sensors and control systems together.
Digital control systems to automate process controls, operator tools and service information systems to
optimize plant safety and security are within the purview of the IoT. But it also extends itself to asset
management via predictive maintenance, statistical evaluation, and measurements to maximize reliability.
Smart industrial management systems can also be integrated with the Smart Grid, thereby enabling real-time
energy optimization. Measurements, automated controls, plant optimization, health and safety management,
and other functions are provided by a large number of networked sensors.
The term industrial Internet of things (IIoT) is often encountered in the manufacturing industries, referring
to the industrial subset of the IoT. IIoT in manufacturing could generate so much business value that it will
eventually lead to the fourth industrial revolution, so the so-called Industry 4.0. It is estimated that in the future, successful companies will be able to increase their revenue through Internet of things by creating new
business models and improve productivity, exploit analytics for innovation, and transform workforce. The
potential of growth by implementing IIoT may generate $12 trillion of global GDP by 2030.
Agriculture
There are numerous IoT applications in farming such as collecting data on temperature, rainfall, humidity,
wind speed, pest infestation, and soil content. This data can be used to automate farming techniques, take
informed decisions to improve quality and quantity, minimize risk and waste, and reduce effort required to
manage crops. For example, farmers can now monitor soil temperature and moisture from afar, and even apply IoT-acquired data to precision fertilization programs.
In August 2018, Toyota Tsusho began a partnership with Microsoft to create fish farming tools using the
Microsoft Azure application suite for IoT technologies related to water management. Developed in part
by researchers from Kindai University, the water pump mechanisms use artificial intelligence to count the
number of fish on a conveyor belt, analyze the number of fish, and deduce the effectiveness of water flow
from the data the fish provide. The specific computer programs used in the process fall under the Azure
Machine Learning and the Azure IoT Hub platforms.
Infrastructure applications
Monitoring and controlling operations of sustainable urban and rural infrastructures like bridges, railway
tracks and on- and offshore wind-farms is a key application of the IoT. The IoT infrastructure can be used
for monitoring any events or changes in structural conditions that can compromise safety and increase risk.
IoT can benefit the construction industry by cost saving, time reduction, better quality workday, paperless
workflow and increase in productivity. It can help in taking faster decisions and save money with Real-Time
Data Analytics. It can also be used for scheduling repair and maintenance activities in an efficient manner,
by coordinating tasks between different service providers and users of these facilities. IoT devices can also
be used to control critical infrastructure like bridges to provide access to ships. Usage of IoT devices for
monitoring and operating infrastructure is likely to improve incident management and emergency response
coordination, and quality of service, up-times and reduce costs of operation in all infrastructure related
areas. Even areas such as waste management can benefit from automation and optimization that could be
brought in by the IoT.
Metropolitan scale deployments
There are several planned or ongoing large-scale deployments of the IoT, to enable better management of
cities and systems. For example, Songdo, South Korea, the first of its kind fully equipped and wired smart
city, is gradually being built, with approximately 70 percent of the business district completed as of June
2018. Much of the city is planned to be wired and automated, with little or no human intervention.
Another application is a currently undergoing project in Santander, Spain. For this deployment, two approaches
have been adopted. This city of 180,000 inhabitants has already seen 18,000 downloads of its city smartphone app. The app is connected to 10,000 sensors that enable services like parking search, environmental
monitoring, digital city agenda, and more. City context information is used in this deployment so as to benefit merchants through a spark deals mechanism based on city behavior that aims at maximizing the
impact of each notification.
Other examples of large-scale deployments underway include the Sino-Singapore Guangzhou Knowledge City;
work on improving air and water quality, reducing noise pollution, and increasing transportation efficiency
in San Jose, California; and smart traffic management in western Singapore. French company, Sigfox,
commenced building an ultra-narrowband wireless data network in the San Francisco Bay Area in 2014, the
first business to achieve such a deployment in the U.S. It subsequently announced it would set up a total
of 4000 base stations to cover a total of 30 cities in the U.S. by the end of 2016, making it the largest IoT
network coverage provider in the country thus far.
Another example of a large deployment is the one completed by New York Waterways in New York City to
connect all the city’s vessels and be able to monitor them live 24/7. The network was designed and engineered
by Fluidmesh Networks, a Chicago-based company developing wireless networks for critical applications. The
NYWW network is currently providing coverage on the Hudson River, East River, and Upper New York
Bay. With the wireless network in place, NY Waterway is able to take control of its fleet and passengers in a
way that was not previously possible. New applications can include security, energy and fleet management,
digital signage, public Wi-Fi, paperless ticketing and others.
Energy management
Significant numbers of energy-consuming devices (e.g. switches, power outlets, bulbs, televisions, etc.)
already integrate Internet connectivity, which can allow them to communicate with utilities to balance
power generation and energy usage and optimize energy consumption as a whole. These devices allow
for remote control by users, or central management via a cloud-based interface, and enable functions like
scheduling (e.g., remotely powering on or off heating systems, controlling ovens, changing lighting conditions etc.). The smart grid is a utility-side IoT application; systems gather and act on energy and power-related
information to improve the efficiency of the production and distribution of electricity. Using advanced
metering infrastructure (AMI) Internet-connected devices, electric utilities not only collect data from endusers,
but also manage distribution automation devices like transformers.
Environmental monitoring
Environmental monitoring applications of the IoT typically use sensors to assist in environmental protection
by monitoring air or water quality, atmospheric or soil conditions, and can even include areas like monitoring
the movements of wildlife and their habitats. Development of resource-constrained devices connected to the
Internet also means that other applications like earthquake or tsunami early-warning systems can also be
used by emergency services to provide more effective aid. IoT devices in this application typically span a
large geographic area and can also be mobile. It has been argued that the standardization IoT brings to
wireless sensing will revolutionize this area.
Trends and characteristics
The IoT’s major significant trend in recent years is the explosive growth of devices connected and controlled
by the Internet. The wide range of applications for IoT technology mean that the specifics can be very
different from one device to the next but there are basic characteristics shared by most. IoT creates opportunities
for more direct integration of the physical world into computer-based systems, resulting in efficiency
improvements, economic benefits, and reduced human exertions.
The number of IoT devices increased 31% year-over-year to 8.4 billion in the year 2017 and it is estimated
that there will be 30 billion devices by 2020. The global market value of IoT is projected to reach $7.1
trillion by 2020 (Fig. 2).