Top 10 technologies of Internet of Things (IoT) in 2017/2018
1.IoT security
-IoT security technology addresses new issues such as protecting IoT devices and platforms from information intrusion and physical tampering, encrypting communications, and consuming battery power. Using a simple processor and operating system that does not support a sophisticated security approach is a problem.
- Hardware and software are required to update security until the device reaches end of life
2.IoT analysis
The IoT business model uses information gathered from objects in several ways and requires a new analytical approach
As the amount of data increases until 2021, the requirements of IoT may be significantly different from the existing analysis.
3.IoT device management
-IoT device management tools should be able to manage and monitor thousands or even millions of devices soon
Low-power, short-range IoT network
4. (Low-Power, Short-Range,
IoT Networks)
Choosing a wireless network for IOT devices should balance many requirements such as range, battery life, bandwidth and operating costs
- Low-power, short-range networks will overwhelm wireless IoT connections by 2025 and outperform connections using broadband IoT networks.
5. Low-Power, Wide-Area Networks
- Traditional cellular networks are not suitable for IoT applications. The long-term goals of a wide-area IoT network are a nationwide coverage, up to 10 years of battery life, fast transfer rates using end-to-end and low hardware costs and hundreds of thousands of devices connected to a base station or equivalent Supported
Emerging standards such as -NB-IoT will dominate this area.
6.IoT processor
The processor and architecture used by IoT devices determines many features such as robust security and encryption capabilities, power consumption, degree of sophistication of software, and the characteristics of the firmware. Like all hardware designs, features, hardware costs, It is important because there are complicated compromises between factors such as upgradeability.
7.IoT operating system
Existing operating systems (OS), such as Windows and iOS, are not designed for IoT applications, and small devices may have large memory space and may not support the chips used by developers.
- Various IoT-only operating systems were developed for various hardware functional requirements
8. Event stream processing
- Some IoT applications generate data at very high speeds that need to be analyzed in real time. Systems that generate tens of thousands of events per second are common, and in some communications and telemetry situations, millions of events can occur per second.
- Distributed Stream Computing Platform (DSCP) emerged to address data processing requirements. They typically use a parallel architecture to process high-speed data streams.
9.IoT platform
The services provided by the IOT platform can be divided into three categories.
(1) low-level device controls and tasks such as communications, device monitoring and management, security and firmware updates
(2) Data collection, transformation and management
(3) Develop IoT applications to connect to enterprise systems, including event-driven logic, application programming, visualization, analysis, and adapters
- Platform unifies many infrastructure components of IoT system
10.IoT standards and ecosystem
Many IoT business models rely on sharing data between multiple devices and organizations, so standards and related APIs are required.
- Many future IoT ecosystems will emerge, and commercial and technological warfare between these ecosystems will dominate the area of smart technology.
The organization that creates the product must develop to support multiple standards or ecosystems, and the product must be able to be updated continuously as standards evolve and new standards and related APIs emerge.
-IoT security technology addresses new issues such as protecting IoT devices and platforms from information intrusion and physical tampering, encrypting communications, and consuming battery power. Using a simple processor and operating system that does not support a sophisticated security approach is a problem.
- Hardware and software are required to update security until the device reaches end of life
2.IoT analysis
The IoT business model uses information gathered from objects in several ways and requires a new analytical approach
As the amount of data increases until 2021, the requirements of IoT may be significantly different from the existing analysis.
3.IoT device management
-IoT device management tools should be able to manage and monitor thousands or even millions of devices soon
Low-power, short-range IoT network
4. (Low-Power, Short-Range,
IoT Networks)
Choosing a wireless network for IOT devices should balance many requirements such as range, battery life, bandwidth and operating costs
- Low-power, short-range networks will overwhelm wireless IoT connections by 2025 and outperform connections using broadband IoT networks.
5. Low-Power, Wide-Area Networks
- Traditional cellular networks are not suitable for IoT applications. The long-term goals of a wide-area IoT network are a nationwide coverage, up to 10 years of battery life, fast transfer rates using end-to-end and low hardware costs and hundreds of thousands of devices connected to a base station or equivalent Supported
Emerging standards such as -NB-IoT will dominate this area.
6.IoT processor
The processor and architecture used by IoT devices determines many features such as robust security and encryption capabilities, power consumption, degree of sophistication of software, and the characteristics of the firmware. Like all hardware designs, features, hardware costs, It is important because there are complicated compromises between factors such as upgradeability.
7.IoT operating system
Existing operating systems (OS), such as Windows and iOS, are not designed for IoT applications, and small devices may have large memory space and may not support the chips used by developers.
- Various IoT-only operating systems were developed for various hardware functional requirements
8. Event stream processing
- Some IoT applications generate data at very high speeds that need to be analyzed in real time. Systems that generate tens of thousands of events per second are common, and in some communications and telemetry situations, millions of events can occur per second.
- Distributed Stream Computing Platform (DSCP) emerged to address data processing requirements. They typically use a parallel architecture to process high-speed data streams.
9.IoT platform
The services provided by the IOT platform can be divided into three categories.
(1) low-level device controls and tasks such as communications, device monitoring and management, security and firmware updates
(2) Data collection, transformation and management
(3) Develop IoT applications to connect to enterprise systems, including event-driven logic, application programming, visualization, analysis, and adapters
- Platform unifies many infrastructure components of IoT system
10.IoT standards and ecosystem
Many IoT business models rely on sharing data between multiple devices and organizations, so standards and related APIs are required.
- Many future IoT ecosystems will emerge, and commercial and technological warfare between these ecosystems will dominate the area of smart technology.
The organization that creates the product must develop to support multiple standards or ecosystems, and the product must be able to be updated continuously as standards evolve and new standards and related APIs emerge.
Top 10 technologies of Internet of Things (IoT) in 2017/2018
Reviewed by Haseeb Tec
on
June 22, 2019
Rating:
Reviewed by Haseeb Tec
on
June 22, 2019
Rating:
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