4.2  System Depiction

Using the LiveLab implementation, we are in the process of examining a technology called customer collaborative network statistic. Our speculation is that mobile customers from a group can work together to generate a fine-grained network protection map that catches multiple systems, e.g. mobile  and enterprise 802.11, and their temporary characteristics. By recording the observed network performance along with plenty of efforts and place, a mobile customer can play a role a DG800http://www.pandawill.com/doogee-valencia-dg800-smartphone-creative-back-touch-android-44-mtk6582-45-inch-otg-p89143.html contact number of dimensions every day. The dimensions from a customer over a long time can be aggregated to generate a personal network protection map; the dimensions from many customers from a group can be aggregated to generate a more complete network protection map for the entire group.

Such network protection charts are valuable to both JIAYU G4S cellphone mobile customers and network providers. For mobile customers, a fine-grained protection map that provides the performance of available systems at a place and time can help the consumer chooses the network user interface properly [6], and creates careful tradeoffs between energy-efficiency and interaction delay [5]. For network providers, the fine-grained protection map will help identify sightless spots in the systems and guide step-by-step network implementation and capacity growth [16]. The user-collaborative strategy is superior to current statistic techniques. Existing network-based techniques evaluate and generate a map for only one network, and thus are limited in their ability to help devices determine the best available network. On the other hand, current client-based statistic techniques are depending on expensive war-driving, which is unlikely to catch the excellent features in geographical protection or temporary characteristics. The writers of [20] developed a DG800 cellphone software (3GTest) for mobile customers to evaluate and report mobile network performance. Our usercollaborative strategy is a significant step further from this one-time single-network statistic.  

5.  CONCLUSION

In this work we revealed that  signing detailed JIAYU G4Shttp://www.pandawill.com/jiayu-g4-smartphone-mtk6592-2gb-16gb-47-inch-gorilla-glass-android-42-3000mah-otg-p88087.html cellphone utilization and calculating systems from mobile phones is not only feasible, but also provides exclusive information regarding both mobile customers and systems. While most current DG800 cellphone utilization studies used mobile phones in accordance with the more open Android operating system system, we confirmed that LiveLab can even be implemented to the DG800, a system known to be very closed, yet much more well-known than Android operating system. Our study of JIAYU G4S customers also creates a exclusive participation by understanding the use of the most well-known mobile phones and losing light into its success.