Jing Xi

Bio: Jing Xi is an academic researcher. The author has contributed to research in topics: Energy consumption. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

A Low-power Transmission Approach of Wifi Network in Smartphone

Abstract: The quality of WiFi's RSSI have greatly affected the power consumption of mobile phone. We analyze the impact of WiFi's RSSI on the power consumption of smartphone under the different network environment. It can be concluded, weak or bad signal strength makes link speed decreases, so the power consumption will be increased. Corresponding, good signal strength will makes WiFi energy consumption decreased. Taking this basic concept, we present an energy optimization strategy based on RSSI perception, which makes network packet aggregate and delay transmission for different intervals. On the other hands, It will reduce the transition of WiFi's mode when RSSI is weak or bad. Simulation results show that the proposed strategy have effectively reduced power consumption of the WiFi component.

Wi-Fi Router With Power Backup and Range Extender

Abstract: Wi-Fi allows users to connect to the internet without the use of wires. It also allows routers to be cordless, which makes things much easier until they run out of power (power outage) or there's nowhere to plug in. When the power goes out, the internet connection via Wi-Fi is disrupted. As we go further away from the router; the Wi-Fi signal becomes weaker. We most likely come across Wi-Fi dead zones on a frequent basis. When encountering diverse router ranges, using connected multiple routers and manually connecting them. The work is designed a Wi-Fi setup with a backup power source of 4-5 hrs. so that even in outage of main power supply the Wi-Fi will provide a no interrupting network and also range has been extended of about 18 meters more in Wi-Fi dead zones.

A Power Optimized Method for Mode Switching in Android Systems

Abstract: How the Suspend/Resume mechanism of smartphone influences the power consumption is examined in the dissertation. Specifically, various unimportant and not so urgent network packets keep awakening the operating system (OS) at the time it is under suspend mode, and switch it from suspend to resume mode continually, which results in more power consumption. Accordingly, an innovative optimization technique was suggested in this paper in order that the awakening of OS can be postponed and the lasting hour of suspend mode can be lengthened to decrease power consumption. Some experiments are also carried out, with the result data suggesting that such technique is an effective way to reduce power consumption by greater than 7.63%. It proves that this technique is workable.