New cloud technology for energy saving 99.96%

Source: Internet
Author: User
Keywords Smart phone cloud applications cloud distribution GPS mobile sensor platform
Tags applications cloud cloud applications cloud distribution gps cloud technology consumption developing development team

According to Beijing News, foreign media reported that Microsoft Research has been developing a very energy-saving GPS technology. This technology can load the heavy digital operations into the cloud, thereby reducing the consumption of electricity. Energy-saving effect can be as high as 99.96%.

The MIT Technology Review reports that Microsoft is developing a technology called cloud-loaded GPS, and is testing a new mobile sensing platform called Cleo to help the project and bring technology to practical use. Now, the GPS sensor in the smartphone is the biggest energy-consuming device of the mobile phone. It takes about 6 hours of work to deplete the battery. In theory, the Microsoft research team said, using the cloud's onboard GPS technology to use only two AA batteries would make it very surprising that sensors measured once a second continued to work 1.5.

Typically, a cell phone needs about 30 seconds to receive the necessary information from an orbiting satellite in order to correct the user's location. In addition, in order to connect and track satellites as they move, mobile phones also need to handle a lot of heavy signal processing. The researchers found that by adjusting a large number of digital processing tasks to the cloud, only a few milliseconds of data transmission, the mobile phone will be able to obtain the initial position correction. For example, smartphones using existing technology to obtain the first GPS correction requires 1 joules of electricity, and the use of the cloud in the research developed by the GPS technology requires only 0.4 joules of electricity, saving electricity up to 99.96%.

The Microsoft development team believes that a significant increase in energy efficiency could develop many new services based on continuous GPS records. In addition, the development team hopes to improve the effectiveness of the solution by experimenting with new compression techniques and improving signal processing algorithms.

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