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Predictive Downloading to Optimize Data Usage in Mobile Environments Disclosure Number: IPCOM000245126D
Publication Date: 2016-Feb-10
Document File: 2 page(s) / 25K

Publishing Venue

The Prior Art Database


Disclosed is a system for combining location awareness, event awareness, and network awareness in a mobile device to make the most economical use of data networks while providing relevant information to the user. Current systems use location awareness and event awareness separately from network awareness, which leads to situations where expensive data networks are used, or poor network availability impacts the user's ability to access the desired data.

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Predictive Downloading to Optimize Data Usage in Mobile Environments

Existing systems and applications take advantage of location awareness and event awareness to provide relevant data to the user. Examples include supplying driving directions to the airport when you have an upcoming flight (event awareness) or highlighting local restaurants (location awareness). Similarly, network awareness is used to find and connect to preferred networks automatically. Examples are switching to WiFi automatically, looking for known hotspots, and selecting provider networks over other networks where roaming charges might apply.

    There are situations where managing network awareness separately from location awareness and event awareness does not provide optimal results. Network awareness currently seems to be implemented in real time only. The device sees which connections are currently available and makes decisions on which connection to use on the spot. This is, of course, necessary to maintain the best immediate connectivity. But, it does not necessarily provide the most efficient overall use of networks that would be possible by predicting data needs through use of location awareness and event awareness.

    Mobile data usage continues to grow and takes up more bandwidth all the time. Shifting data usage to WiFi and hotspot connections is still typically desirable for both mobile service providers and end users to conserve resources and save money. While previously mentioned technologies exist to choose WiFi/hotspots when available for on-demand data access, there doesn't seem to be a solution for predictive data access on these preferred connections to avoid using mobile data in transit or in locations with no connection, congested wireless networks, or expensive data access (such as "roaming"; i.e., connecting on a network owned by a different service provider).

    With this invention, when an application predicts that you are going to move from one location to another, the application will use preferred data connections to pre-load data related to the upcoming travel. This will limit data usage in transit. In other cases, the predictive analysis may detect that the user is going somewhere with poor data access or expected network congestion (such as a sporting event or concert) and will pre-load data that it expects the user to access....