Ultimate Guide To Learning The Internet Of Things

The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the internet, collecting and sharing data. Thanks to cheap processors and wireless networks, it’s possible to turn anything, from a pill to an aeroplane to a self-driving car into part of the IoT. This adds a level of digital intelligence to devices that would be otherwise dumb, enabling them to communicate real-time data without a human being involved, effectively merging the digital and physical worlds.

Devices and objects with built in sensors are connected to an Internet of Things platform, which integrates data from the different devices and applies analytics to share the most valuable information with applications built to address specific needs.

These powerful IoT platforms can pinpoint exactly what information is useful and what can safely be ignored. This information can be used to detect patterns, make recommendations, and detect possible problems before they occur.

Every emerging technology has a dark side to it, which should be explored and kept in mind while using technology. ‘Internet-of-Things (IoT)’, one of the raging technologies, has revolutionized the mobile app development industry and is luring end users with its captivating benefits and features. Let’s have a look at both the pros as well as the cons of using IoT in our daily lives.

There have been visions of machines communicating with one another since the early 1800s. Machines have been providing direct communications since the telegraph (the first landline) was developed in the 1830s and 1840s. Described as “wireless telegraphy,” the first radio voice transmission took place on June 3, 1900, providing another necessary component for developing the Internet of Things.

Among the different Internet of Things examples presented on market nowadays, most observers note the significant achievements in the spheres of healthcare, manufacturing, industry, devices, and real-life cases. In the given circumstances, the presented review chose two IoT examples in each of these areas to demonstrate the power of this innovation and its current trends.

Soon, it will be taken for granted that pretty much any device we own – cars, TVs, watches, kitchen appliances can go online and communicate with each other. In industry too, tools and machinery are increasingly intelligent and connected, generating data that drives efficiency and enables new paradigms such as predictive maintenance to become a reality, rather than a pipe-dream.

IoT actually has its roots in a world that predates the rise of remote control thermostats: industrial manufacturing.

The Industrial Internet of Things (IIoT) takes networked sensors and intelligent devices and puts those technologies to use directly on the manufacturing floor, collecting data to drive artificial intelligence and predictive analytics.

Can you imagine a huge variety of smart devices under the centralized control from one “brain”?

The effectiveness and applicability of such a system directly correlate with the quality of its building blocks and the way they interact, and there are various approaches to IoT architecture. In this article, our IoT consulting experts will share their hands-on experience and present their original concept of a scalable and flexible IoT architecture.

In essence, IoT architecture is the system of numerous elements: sensors, protocols, actuators, cloud services, and layers. Given its complexity, there exist 4 stages of IoT architecture. Such a number is chosen to steadily include these various types of components into a sophisticated and unified network.

There are several reasons why a reference architecture for IoT is a good thing:

— IoT devices are inherently connected – we need a way of interacting with them, often with firewalls, network address translation (NAT) and other obstacles in the way.

— There are billions of these devices already and the number is growing quickly; we need an architecture for scalability. In addition, these devices are typically interacting 24×7, so we need a highly-available (HA) approach that supports deployment across data centers to allow disaster recovery (DR).

— The devices may not have UIs and certainly are designed to be “everyday” usage, so we need to support automatic and managed updates, as well as being able to remotely manage these devices.

— IoT devices are very commonly used for collecting and analyzing personal data. A model for managing the identity and access control for IoT devices and the data they publish and consume is a key requirement.

The Internet of Things covers a huge range of industries and use cases that scale from a single constrained device up to massive cross-platform deployments of embedded technologies and cloud systems connecting in real-time.

Tying it all together are numerous legacy and emerging communication protocols that allow devices and servers to talk to each other in new, more interconnected ways.

At the same time, dozens of alliances and coalitions are forming in hopes of unifying the fractured and organic IoT landscape.

There are several types of IoT topologies for networking, the most common being mesh topology, star topology, and point-to-point topology. To decide which network is best for your smart application, you need to know the advantages and disadvantages of each. We’ve simplified that process for you below.

The relation between big data and IoT has shown a convergence of the two technologies which is aligning the technologies in the best possible way. Hence, if IoT big data combination separately gives plenty of reasons for excitement, then combining the two technologies multiplies the anticipation.

In this blog, we will discuss how IoT and big data go hand in hand and how organizations are obtaining benefits by using the internet of things big data together.

Most IT organisations are used to knowing exactly where their data resides. With IoT, the challenge of putting arms around all of the content owned by a business is much greater, with obvious implications on user privacy and regulations, such as the General Data Protection Regulation (GDPR).

It seems that recently there has been as much hype surrounding the IoT as there is confusion in differentiating it from the M2M technology. This short overview will tackle the popular misconceptions and pinpoint some pivotal differences between these two technology buzzwords.

The question, however, remains how will the devices remain interconnected throughout? The answer lies in the connectivity provided by the internet of things cloud service. Greater usage of the IoT in the cloud has acted as a catalyst for the development and deployment of scalable Internet of Things applications and business models. Cloud computing and IoT have become two very closely affiliated future internet technologies with one providing the other a platform for success. There are numerous benefits which the convergence of IoT and Cloud computing has derived.

Say for example, if you are connecting an LED to a Raspberry Pi and you need that to blink whenever you get a notification from your Twitter account. The platform for connecting the LED to the RPi is called the Hardware platform. Besides, the platform for connecting your Twitter account to your Raspberry Pi you need Cloud platform obviously. There are a billion things connected to the internet and for that, it is harder to maintain the data. Also, to send the data, store, and process all your data is not possible in your home and its not practical. So there are great cloud services available to upgrade, maintain and secure your data.

The substantive difference between the Internet of Things and the Social Network of Things is actually more about the need for us to change the way we think about and use networked systems: moving away from thinking in terms of objects and humans and instead thinking of the world in terms of agency and cyborgs. These conceptual shifts are deliberately messy constructions.

Have you entered the Internet of Things yet?

If you have a FitBit or other activity tracker that talks to your smartphone, you have.  If you have a thermostat, alarm system, or lights in your home that you can control with your computer or phone, you have.

But even if you haven’t got one of those devices yet, I’m betting you will within the next 3–5 years.

There are so many IoT business ideas which you can use to build your business or a startup with that it would probably need a book to be written to describe all of them. That’s why we choose 10 of the most promising and innovative Internet of things business opportunities.

An IoT business model:

— Focuses on capturing and delivering value.
— Leverages the unique characteristic of IoT products of having 24/7 connectivity to your customer’s environment to produce innovative and differentiated value.

Now that we have a definition, let’s look at seven of the top IoT business models

Unlike traditional hardware, IoT products come with continuous, infrastructure-related costs. In order to work, they need a network on which to function, and a service platform on which to collect and manage data.

Because of that, IoT technologies only prove economically viable when they can deliver recurring, continuous value for the customer. That value can come in many different forms.

As manufacturers continue to compete on who would get the latest device in the hands of consumers first?

Very few of them are considering the security issues associated with data access & management as well as with that of the IoT devices themselves.

But what is the largest security challenges currently plaguing the field of IoT-connected devices?

IoT Agenda defines IoT security as “the technology area concerned with safeguarding connected devices and networks in the Internet of Things (IoT).” Simply put, IoT security refers to the precautionary measures taken to beef up the security of IoT devices and reduce their susceptibility to attacks from unauthorized criminals.

The data privacy genie is well and truly out of the Internet-connected bottle. As consumers of IoT devices, we must all be aware of how our privacy becomes compromised through technology. As manufacturers of such products, however, there are two drivers to which we should adhere to ensure good privacy practice.

IoT can reduce inventory error, optimize your supply chain management, and decrease labor costs. Ultimately, IoT can help your traditional brick-and-mortar shop compete with today’s online-first shopping world, by exponentially improving customer experience and decreasing unnecessary expenses.

There are numerous IoT-related benefits to the retail industry, but here, we’ll hone in on the seven most important ways we think IoT will change retail.

So far, the IoT in healthcare is mainly focused on remote monitoring and telemonitoring and on tracking, monitoring and maintenance of assets.

The cornerstone of it is, therefore, electronic health records (EHR), the concept of computerized health records which emerged already in the 1980s, but became commonplace only in recent years. The use of EMR promises to advance coordination of medical care, facilitate interaction with patients and families and reduce disparities in healthcare improving its efficiency. This has become the central idea of telehealth — a pool of technologies and tactics to deliver virtual medical, health, and education services.

The Internet of Things (IoT) has opened up a world of possibilities in medicine: when connected to the internet, ordinary medical devices can collect invaluable additional data, give extra insight into symptoms and trends, enable remote care, and generally give patients more control over their lives and treatment.

Here are 10 examples of IoT in healthcare that demonstrate what medicine is becoming capable of thanks to technology.

When it comes to IoT for marketing, there are two keys to keep in mind: connectivity and specificity. The ability to connect all these devices to the cloud (and each other) leads to benefits such as accuracy, efficiency, real-time communication and convenience. Strategies need to target these aspects of the experience for customers. In addition, all of these efforts need to be extremely specific in their message and timing.

From factory equipment to the children toys, the internet has always been important and to keep internet exploitation-free, IoT is there. There are a lot of IoT trends that are coming up for our safety and to keep it clean we have selected particularly 20 IoT Trends and described all the details of each trend.

The range of existing and potential Internet of Things devices is enormous. Consumers often use their smartphones to communicate with IoT devices, whether it’s a smart speaker or home thermostat. Connected devices offer convenience, like helping you make a grocery list, or savings, like when you turn down the heat at home while you’re on vacation.

The potential is not just in enabling billions of devices simultaneously but leveraging the huge volumes of actionable data which can automate diverse business processes. As networks and IoT platforms evolve to overcome these challenges, through increased capacity and AI, service providers will edge furthermore into IT and web scale markets – opening entire new streams of revenue.

One of the biggest challenges with the Internet of Things (IoT) is the security headache that comes with it. This issue is exacerbated in the enterprise, where connected devices often control large, dangerous machines, or send and receive sensitive data.

While the IoT can bring new data and helpful insights, it also introduces new vulnerabilities into your organization. As such, it’s critical that enterprises consider the security implications of an IoT deployment before moving forward.

You’re surrounded by things connected to the internet — from cars and smart elevators to parking meters and industrial machines used for manufacturing. Aruna Srinivasan wants to use the data gathered by these devices to make our world safer and healthier. She explains how she and her team are using the Internet of Things to solve some of the most pressing issues of our time — from decreasing air pollution to increasing food production without wasting water.

Internet of Things for Architects: Architecting IoT solutions by implementing sensors, communication infrastructure, edge computing, analytics, and security. This book encompasses the entire spectrum of IoT solutions, from sensors to the cloud. It starts by examining modern sensor systems and focus on their power and functionality. After that, it dives deep into communication theory, paying close attention to near-range PAN, including the new Bluetooth 5.0 specification and mesh networks.

IoT Inc: How Your Company Can Use the Internet of Things to Win in the Outcome Economy. This essential guide provides an in-depth look into IoT―how it works and how it is transforming business; methods for seeing your own business, customers, and competitors through the lens of IoT, and a deep dive into how to develop and implement a powerful IoT strategy.

Building the Internet of Things: Implement New Business Models, Disrupt Competitors, Transform Your Industry. This book provides front-line business decision-makers with a practical handbook for capitalizing on this latest transformation. Focusing on the business implications of Internet of Things (IoT), this book describes the sheer impact, spread, and opportunities arising every day, and how business leaders can implement IoT today to realize tangible business advantages.

Precision: Principles, Practices and Solutions for the Internet of Things. This book introduces a vendor-neutral, acronym-free framework. Dr. Chou then discusses the framework’s fundamental principles and these principles put into practice.

An Introduction to Programming the Internet of Things (IOT). This course covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers.

Internet of Things Course by the University of San Diego. This course covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems.

AWS IoT: Developing and Deploying an Internet of Things. This course will introduce you to the Internet of Things and then explore Amazon Web Services’ IoT services, and then expert instructors will dive deep into topics such as the device gateway, device management, the device registry, and shadows.

Programming Internet of Things – Beginning to Advanced Level. This course is meant for DIY enthusiasts, Engineers, Professionals and College Learners. This course starts from very basics and then slowly moves towards the advanced concepts. It uses very easy and interactive language, i.e. LUA Script to do programming for Internet of Things. The tutorials primarily use ESP8266 development board.