Eight trends of the development of the Internet of

Eight trends of IOT development in 2017

Abstract: IOT is a scientific and technological revolution. Its goal is to embed short-range mobile data transceivers into gadgets or things in daily life, bringing new development directions to the technical field of information and communication. Frost & Sullivan's research report puts forward eight development trends of IOT: (1) IOT will evolve into a perceptual tool, (2) cognitive technology has become a new wisdom, (3) commercialization of IOT platform, (4) UAV transportation has come true, (5) the crisis of IOT in national network security, (6) the integration of smart cars and smart homes has been achieved, (7) the competitive advantage of AI personal secretaries, and (8) the popularization of cloud computing

in 2017, the development of IOT will evolve from IOT 0.0 connection device to IOT 2.0 using cognitive computing and predictive computing

(I). IOT 0.0 refers to machine to machine (M2M) features, including: Online devices are applications that integrate enterprises or consumers through or with other networks, with little data, and focus on the "plumbing" of embedded hardware and networks

(II). IOT 1.0 features include: cloud computing, integrated enterprise management, support for new business models, such as product as a service, device and network security, big data analysis, and focus on integrating software functions and applications

(III). IOT 2.0 features refer to the transformation of IOT from data application to event response, and then to the use of perceptual tools and cognitive operations (or prediction operations)

second, cognitive technology has become a new wisdom

IOT is rapidly turning to the use of artificial intelligence (AI) to change intelligent devices, which can directly respond to environmental changes without human intervention

the 2017 integration solution of cloud services and AI can integrate app, machine learning and AI to provide complete situational awareness, prediction and specification functions, and help organizations realize the value of IOT

III. commercialization of IOT platform

large enterprises will continue to devote themselves to building ecosystems and provide building blocks at the lowest cost, so as to promote innovation and develop solutions and capabilities related to new IOT

Watson cloud computing, SAP Hana, PTC thingworx, etc. Companies such as at t, Verizon and Cisco, which have their own IOT ecosystem, will continue to expand to a larger sample size of 1230 (L) × 50 (b) mm (short samples can be spliced) platform suppliers provide components (building

blocks) and begin to transfer their ecosystem to a larger IOT ecosystem

IV. UAV transportation comes true

Amazon successfully transported packages by UAV for the first time on December 7, 2016. Frost Sullivan estimated that the regulations on commercial testing of UAVs will be passed in 2017, and UAV transportation services will be available by the end of 2017. In addition, Qualcomm and at t are also testing UAV commercial transportation, UAV monitoring forest fires, mobile communication base stations (cell

tower) and cables, and continue to lobby lawmakers to approve drones equipped with sensors for commercial use

v. IOT is a crisis of national network security.

unsafe devices and malware may become a potential security hazard of IOT. In 2017, hackers invaded IOT devices and caused losses. For example, during the DDoS attack in October, 2006, hackers successfully invaded the unsupervised camera. At present, there are billions of network devices in operation. Similar hacker attacks will invade electric infrastructure, connected

car, traffic monitors, nuclear power plants, etc., which will become a crisis of national network security

VI. the integration of smart cars and smart homes has been achieved

IOT enables the integration of mobile devices and smart homes, and can help consumers realize their dream of centralized management of digital life. It includes: sharing cars, integrating the travel of trains and planes, car rental, transportation in response to demand (tax tensile machine is an experimental machine I and BRT for mechanical property experiments such as stretching, tightening, bending, shearing and peeling of materials), urban mass transportation, automotive energy management, app, travel planning, big data, dynamic parking, private housekeeper, etc

VII. AI assistants striving for competitive advantage

amazon, Google, apple and Microsoft are all trying to seize the market share of personal assistants and compete for the market pie of home, consumer IOT and artificial intelligence. In the development of AI personal assistants in 2017, 5. In terms of experimental projects, first of all, integrate existing services with AI personal assistants with smart home solutions; The second stage is to integrate with car couplets; The third stage is the integration with automatic driving; Finally, the introduction of AI personal assistants by small companies will increase the competitive pressure of market leaders

VIII. Popularization of cloud computing

efficient data standards and fog computing will support endpoint intelligence and contribute to the future deployment of IOT

features of point computing: it has simple IOT deployment based on private cloud; Enterprise back-end data processing; Application centered communication, etc

cloud computing features: IOT deployment based on public cloud, emerging applications for collaborative IOT deployment, and cloud centric communication

characteristics of fog Computing: in the fog computing environment, endpoint level data management, semi autonomous IOT application, and data centric communication