US 2020/0037237 A1 · AUTONOMOUS LEARNING AND GEOGRAPHIC-BASED ENERGY EFFICIENT NETWORK COMMUNICATION

Abstract

The aim of this invention it to accelerate the Network selection avoiding performing multiple and/or full band scan to detect all the available networks that offer a data service for a mobile device. More specifically, the mobile device make use of its Preferred Public Land Mobile Network list which is built for a given geographic region based on a processing of its own previous learning and the learning of other mobile devices by a processing platform in order to prioritize the networks. The selection mechanism aims to reduce the time and the energy consumed to attach to a network. The present invention describes a method to establish a data communication between a mobile device (tracker), having IoT mobile device system, and a station terminal.

Claims20

Dependent claims

Method for controlling data communication between a mobile terminal and a data acquisition-distribution platform comprising the following steps:

determining a geographical location of the mobile terminal;
obtaining a device preferred/or and forbidden PLMN list from a preferred and/or forbidden PLMN data structure set based on the geographical location;
storing and/or updating the device preferred/or and forbidden PLMN list in an operator file system of the mobile terminal;
scanning at least one device preferred frequency band to identify a list comprising at least one available communication network;
selecting a cellular network among the available communication networks based on the order of the device preferred PLMN list;
and/or excluding networks referenced in the forbidden PLMN list;
establishing a communication with data acquisition-distribution platform via the selected communication network.

4 more elements

A method for controlling data acquisition and distribution on a data acquisition-distribution platform between a plurality of mobile terminals via cellular network, low power radio network , satellite communication or combination of plurality of above said communication mediums comprising the following steps:

receiving network QoS raw data related to at least a selected or available communication network from said plurality of mobile terminals;
wherein the network QoS raw data contain at least one record comprising:
i) a communication network identifier corresponding to the at least one selected or available communication network;
ii) the geographical location where the communication has been established;
iii) at least one characteristic in relation with a Quality of Service of said selected or available communication network;
processing the QoS raw data and updating or generating a preferred and/or forbidden PLMN data structure set (PF-P-DSL) comprising at least preferred and/or forbidden PLMN data structure for at least one geographical location or zone;
sending a complete or partial preferred-forbidden PLMN data structure list to at least one mobile terminal.

4 more elements

Dependencies are inferred from the claim text.

Autonomous learning and geographic-based energy efficient network communication

Life of this patent

Autonomous learning and geographic-based energy efficient network communication

Life of this patent

Abstract

Claims20