Wearable Device Data Pmission Security Issues Can Not Be Ignored.

Wearable devices are new trends in mobile applications. With the advent of Apple (Apple) Watch, it is not only profitable, but also driving market confidence.

However, wearable devices still have many fundamental problems, such as high power consumption, high manufacturing cost, unclear application areas, and insecure data pmission.

According to the report, although wearable products such as Pebble, Fitbit and Google Glass are refreshing in connection capability and portability, it is not until apple Apple Watch releases an optimistic sales forecast that it can eliminate people's concerns.

Acceptance doubts and even expectations can further bring the development of IoT to a higher level.

However, wearable devices still have several fundamental problems to be solved.

The first is the power dissipation problem, which is directly related to the wireless communication mode, leakage current (leakage current) and battery efficiency adopted by the device.

In terms of wireless communication, because wearable devices need to be connected at any time by using radio frequency (RF) and share information with other applications with multiple protocols, power consumption is large.

In order to achieve the 25~30 hour endurance required for smart watches, how to adjust the antenna efficiency, signal strength and data pmission to reduce power consumption is crucial.

The second is the leakage current problem, which can be solved at present or advanced.

For example, in the standby mode, the leakage current of the 65/55/45 nano process chip is high. If the LP process, 28 nm FD-SOI or 14/16 nano FinFETs process are changed, the leakage current can be effectively reduced.

However, the more advanced the process is, the higher the design complexity is, and the price is not cheap.

However, improving the chip process can not solve the problem of leakage current under the condition of alternating current.

One of the solutions is to change the sensor fusion technology to allocate the computing effort.

For example, the work with high computing demand is assigned to the larger arithmetic core (core), and the low computation effort is given to the smaller arithmetic core, and both processing can reduce the power loss.

However, the cost of using multiple computing modes is high and is generally used in high-order devices.

Low level devices usually use relatively inexpensive Micro Controller to handle all tasks.

The choice of device is the basis of judgement.

The last is battery efficiency.

At present, the major R & D institutions all over the world have invested in improving the efficiency of battery power supply, charging efficiency and reducing battery cost. Although they are less useful for wearable devices, they are beneficial to the use of electric vehicles and mobile devices.

In addition to power problems, the wearable device still needs strict control of manufacturing costs.

Due to the fact that most of the products are sold to the mainland and other sensitive markets, and the European market with government subsidies, the cost pressure of manufacturers is not small.

As the key to market competition is no longer a forerunner, how to integrate the technology, function and power supply to design the best cost products is an important issue for manufacturers.

In addition, the unknown application area is another difficult problem for wearable devices to solve.

The IP industry believes that having the biometric function and the initial operation of data and sharing it to the connected device will be the future killer application (Killer App).

This view can be seen by Samsung Electronics and apple.

As for wearable devices

It should not be ignored.

Although most devices will easily retrieve personal information in the future, there is no answer to how to share data safely.

Gordon Cooper, NXP marketing manager, points out that

At present, devices are not equipped with safe pmission function. The possible solution in the future is to pfer information security problems from original software to hardware processing, so as to save power.

However, in order to achieve this goal, it is necessary to redesign the overall operation framework, and it is another source of pressure for product development.