Top 10 Internet of Things technologies 2017 & 2018

Top 10 Internet of Things technologies 2017 & 2018

IoT technologies have taken the world by storm, but their design, implementation, and deployment pose significant challenges which have to be taken care in the beginning to avoid complete failure of the system and collapse of the whole ecosystem. Gartner’s has released a list of Top 10 Internet of Things technologies 2017 & 2018 which can impact all IoT companies business propositions.

Top 10 Internet of Things technologies 2017 & 2018 According to Gartner

  • IoT Security
  • IoT Analytics
  • IoT Device Management
  • Low-power, short-range IoT Networks
  • Low-power, Wide-Area Networks
  • IoT Processors
  • IoT Operating Systems
  • Event Stream Processing
  • IoT Platforms
  • IoT Standards and Ecosystems

As per  Gartner vice president and analyst, Nick Jones “IoT demands an extensive range of new technologies and skills that many organizations have yet to master. A recurring theme in the IoT space is the immaturity of technologies and services and of the vendors providing them. Architecting for this immaturity and managing the risk it creates will be a key challenge for organizations exploiting IoT. In many technology areas, lack of skills will also pose significant challenges.”

Top 10 IoT technologies:

1. IoT Security

IoT security is a major domain which will have an impact as these technologies are required to protect IoT devices and platforms from physical tampering and information attacks that attempt to encrypt devices communications and to address new challenges such as the impersonation of ‘things’ or denial-of-sleep attacks that drain batteries. IoT security will be complicated by the fact that many ‘things’ use simple processors and operating systems may not support sophisticated security approaches.

Mr. Jones said, “New threats will emerge through 2021 as hackers find new ways to attack IoT devices and protocols, so long-lived ‘things’ may need updatable hardware and software to adapt during their lifespan.”

2. IoT Analytics

IoT business models will exploit the information collected by ‘things’ in various ways like attempting to understand customer behavior, to deliver services and intercept business moments. As data volumes increase through 2021, the needs of the IoT may diverge further from traditional analytics and new analytic tools and algorithms will be required.

3. IoT Device Management

Million of IoT “Things” will require tools capable of managing and monitoring them and generates thousands and perhaps even millions of devices. Management includes software updates, diagnostics, crash analysis and reporting, physical management and security management.

Long-lived nontrivial “things” will require management and monitoring. This includes device monitoring, firmware and software updates, diagnostics, crash analysis and reporting, physical management, and security management. The IoT also brings new problems of scale to the management task. Tools must be capable of managing and monitoring thousands and perhaps even millions of devices.

4. Low-power, short-range IoT Networks

Low-power, short-range networks will dominate wireless IoT connectivity through 2025, outnumbering connections using wide-area IoT networks. However, commercial and technical trade-offs mean that many solutions will coexist with no single dominant winner and clusters around certain technologies, applications and vendor ecosystems will emerge.

5. Low-power, Wide-Area Networks

Traditional cellular networks don’t deliver a balanced combination of technical features and operational cost for those IoT applications that need wide-area coverage combined with relatively low bandwidth, good battery life, low hardware and operating cost, and high connection density.

The first low-power wide-area networks (LPWANs) were based on proprietary technologies, but in the long term, emerging standards such as Narrowband IoT (NB-IoT) will likely dominate this space.

6. IoT Processors

The processors and architectures used by IoT devices define many of their capabilities, such as whether they are capable of strong security and encryption, power consumption, whether they are sophisticated enough to support an operating system, updatable firmware, and embedded device management agents.

An understanding of the implications of processor choices will demand strong technical skills.

7. IoT Operating Systems

Traditional operating systems such as Windows and iOS were not designed for IoT applications. Consequently, a new range of IoT-specific operating systems has been developed to suit different hardware footprints and feature needs.

8. Event Stream Processing

Some IoT applications will generate extremely high data rates that must be analyzed in real time. To address such requirements, distributed stream computing platforms (DSCPs) have emerged.

9. IoT Platforms

IoT platforms bundle many of the infrastructure components of an IoT system into a single product. The services provided by such platforms fall into low-level device control, data acquisition, and application development.

10. IoT Standards and Ecosystems

Standards and their associated APIs will be essential because IoT devices will need to interoperate and communicate and many IoT business models will rely on sharing data between multiple devices and organizations.

Also, Read More about….. Industrial IoT devices and Gateway

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