INTERNET OF THINGS
IOT:
The term IoT, or Internet of Things, refers to the collective network of connected devices and the technology that facilitates communication between devices and the cloud, as well as between the devices themselves.
What is the history of the Internet of Things?
The idea of adding sensors and intelligence to basic objects was discussed throughout the 1980s and 1990s (and there are arguably some much earlier ancestors), but apart from some early projects -- including an internet-connected vending machine -- progress was slow simply because the technology wasn't ready. Chips were too big and bulky and there was no way for objects to communicate effectively .Processors that were cheap and power-frugal enough to be all but disposable were needed before it finally became cost-effective to connect up billions of devices. The adoption of RFID tags -- low-power chips that can communicate wirelessly -- solved some of this issue, along with the increasing availability of broadband internet and cellular and wireless networking. The adoption of IPv6 -- which, among other things, should provide enough IP addresses for every device the world (or indeed this galaxy) is ever likely to need -- was also a necessary step for the IoT to scale.
What are the benefits of the Internet of Things for business?
The benefits of the IoT for business depend on the particular implementation; agility and efficiency are usually top considerations. The idea is that enterprises should have access to more data about their own products and their own internal systems, and a greater ability to make changes as a result.
Enterprise use of the IoT can be divided into two segments: industry-specific offerings like sensors in a generating plant or real-time location devices for healthcare; and IoT devices that can be used in all industries, like smart air conditioning or security systems. industry-specific products will make the early running, by 2020 Gartner predicts that cross-industry devices will reach 4.4 billion units, while vertical-specific devices will amount to 3.2 billion units. Consumers purchase more devices, but businesses spend more: the analyst group said that while consumer spending on IoT devices was around $725bn last year, businesses spending on IoT hit $964bn. By 2020, business and consumer spending on IoT hardware will hit nearly $3tn.
Recommended by LinkedIn
How do Internet of Things and 5G connect and share data?
IoT devices use a variety of methods to connect and share data, although most will use some form of wireless connectivity: homes and offices will use standard Wi-Fi, Zig bee or Bluetooth Low Energy (or even Ethernet if they aren't especially mobile); other devices will use LTE (existing technologies include Narrowband IoT and LTE-M, largely aimed at small devices sending limited amounts of data) or even satellite connections to communicate. However, the vast number of different options has already led some to argue that IoT communications standards need to be as accepted and interoperable as Wi-Fi is today. The analyst firm predicts that there will be 3.5 million 5G IoT devices in use this year, and nearly 50 million by 2023. Longer term the automotive industry will be the largest sector for 5G IoT use cases, it predicted.
One likely trend is that, as the IoT develops, it could be that less data will be sent for processing in the cloud. To keep costs down, more processing could be done on-device with only the useful data sent back to the cloud – a strategy known as 'edge computing'. This will require new technology – like tamper-proof edge servers that can c
IoT data and artificial intelligence
IoT devices generate vast amounts of data; that might be information about an engine's temperature or whether a door is open or closed or the reading from a smart meter. All this IoT data has to be collected, stored and analysed. One way companies are making the most of this data is to feed it into artificial intelligence (AI) systems that will take that IoT data and use it to make predictions. For example, Google has put an AI in charge of its data centre cooling system. The AI uses data pulled from thousands of IoT sensors, which is fed into deep neural networks, and which predict how different choices will affect future energy consumption. By using machine learning and AI, Google has been able to make its data centre more efficient and said the same technology could have uses in other industrial settings.
IoT evolution: Where does the Internet of Things go next?
As the price of sensors and communications continue to drop, it becomes cost-effective to add more devices to the IoT – even if in some cases there's little obvious benefit to consumers. Deployments are at an early stage; most companies that are engaging with the IoT are at the trial stage right now, largely because the necessary technology – sensor technology, 5G and machine-learning powered analytics – are still themselves at a reasonably early stage of development. There are many competing platforms and standards and many different vendors, from device makers to software companies to network operators, want a slice of the pie. It's still not clear which of those will win out. But without standards, and with security an ongoing issue, we are likely to see some more big IoT security mishaps in the next few years.