Seven Networks, LLC

Tejas Jukar

Ari Backholm

Yuan Kang Lee

Rami Alisawi

Suresh Srinivasan

Chaitali Sengupta

Vivek Agarwal

Sudipta Sen

Subhakar Reddy Chedulla

Systems and methods for extending delay tolerance of mobile applications to optimize mobile traffic management are disclosed. In a mobile device, network stack timers or protocol stack timers are modified to extend delay tolerance of applications for radio alignment. In an embodiment, tolerance of mobile applications on a mobile device to delay in establishing a connection to a wireless network is extended by an application or a local proxy on a mobile device. Based on the tolerance that is extended, requests intercepted from the mobile applications are aggregated, over a period of time, such that transfer of the requests intercepted during the period of time is delayed. This minimizes the number of times the mobile device connects to the network, reducing the power consumption on the mobile device and unnecessary signaling in the network.

Extending delay tolerance of mobile applications for optimizing mobile traffic management

Techniques are disclosed for estimating a surrounding in which a mobile device is situated based on sensors of the mobile device. The sensors can be typical sensors currently existing on mobile devices and not dedicated for surrounding detection purposes. One embodiment includes a method which comprises retrieving a weather condition from a remote server; deriving, based on the weather condition, a plurality of weights for sensors on the mobile device; applying each weight to an output of a corresponding sensor on the mobile device; and determining whether the mobile device is likely to be indoor or outdoor based on one or more weighted outputs from the sensors. Among other advantages, embodiments disclosed herein increased accuracy to estimate the mobile device's surrounding without the need of dedicated sensors or other modification to mobile network infrastructures, thereby providing the benefit of surrounding sensing without incurring the cost.

Surrounding estimation based on sensors of a mobile device

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Fremont, CA, United States of America

Tejas Jukar