Electronic device and related methods for predicting initiation of establishment of a network with one or more other electronic devices

Patent metadata

Field	Value
Publication number	US-11558767-B2
Application number	US-202117170323-A
Country	US
Kind code	B2
Filing date	Feb 8, 2021
Priority date	Mar 26, 2020
Publication date	Jan 17, 2023
Grant date	Jan 17, 2023

Abstract

An electronic device includes a memory circuitry, an interface circuitry, a sensor circuitry, and a processor circuitry having a predictor circuitry configured to operate according to a prediction model. The processor circuitry is configured to obtain sensor data. The processor circuitry is configured to determine, based on the sensor data, using the predictor circuitry, a predicted time parameter indicative of a prediction of a time slot to initiate an establishment of a network with one or more other electronic devices. The processor circuitry is configured to initiate the establishment of the network with the one or more other electronic devices according to the predicted time parameter.

First claim

What is claimed is:

1. An electronic device comprising:
a memory circuitry;
an interface circuitry;
a sensor circuitry and
a processor circuitry comprising a predictor circuitry configured to operate according to a prediction model;
the processor circuitry being configured to:
obtain sensor data, the sensor data comprising one or more of: data sensed by the sensor circuitry, and network quality data;
determine, based on the sensor data, using the predictor circuitry, a predicted time parameter indicative of a prediction of a time slot to initiate an establishment of a network with one or more other electronic devices; and
initiate the establishment of the network with the one or more other electronic devices according to the predicted time parameter.

2. The electronic device according to claim 1 , wherein the network quality data comprises one or more of: a time parameter, a latency parameter, a channel quality parameter, and a retransmission parameter.

3. The electronic device according to claim 1 , wherein the sensor data comprises current sensor data and historical sensor data.

4. The electronic device according to claim 1 , wherein the prediction model comprises one or more of: a regression model and a classification model.

5. The electronic device according to claim 1 , wherein the processor circuitry is configured to perform a service discovery to find a service in the network.

6. The electronic device according to claim 1 , wherein the processor circuitry is configured to communicate with a service device and to determine with the service device a scheme for how sensor data is to be reported.

7. The electronic device according to claim 1 , wherein the processor circuitry is configured to enter a power saving mode after reporting sensor data.

8. The electronic device according to claim 1 , wherein the processor circuitry is configured to determine, based on a previously determined predicted time parameter, the predicted time parameter.

9. The electronic device according to claim 1 , wherein the processor circuitry is configured to train and/or update the prediction model based on one or more of: the sensor data, and the predicted time parameter.

10. The electronic device according to claim 1 , wherein the processor circuitry is configured to transmit the prediction model and/or parameters indicative of the prediction model to the one or more other electronic devices.

11. A method, performed by an electronic device comprising a sensor circuitry, for predicting initiation of establishment of a network with one or more other electronic devices, the method comprising:
obtaining sensor data, the sensor data comprising one or more of: data sensed by the sensor circuitry, and network quality data;
determining, based on the sensor data and a prediction model, a predicted time parameter indicative of a prediction of a time slot to initiate an establishment of the network with the one or more other electronic devices; and
initiating the establishment of the network with the one or more other electronic devices according to the predicted time parameter.

12. The method according to claim 11 , wherein the network quality data comprises one or more of: a time parameter, a latency parameter, a channel quality parameter, and a retransmission parameter.

13. The method according to claim 11 , wherein the sensor data comprises current sensor data and historical sensor data.

14. The method according to claim 11 , wherein the prediction model comprises one or more of: a regression model and a classification model.

15. The method according to claim 11 , the method comprising:
performing a service discovery to find a service in the network.

16. The method according to claim 11 , the method comprising:
communicating with a service device, and
determining with the service device a scheme for how sensor data is to be reported.

17. The method according to claim 11 , the method comprising:
entering a power saving mode after reporting sensor data.

18. The method according to claim 11 , the method comprising:
determining, based on a previously determined predicted time parameter, the predicted time parameter.

19. The method according to claim 11 , the method comprising:
training and/or updating the prediction model based on one or more of: the sensor data, and the predicted time parameter.

20. The method according to claim 11 , the method comprising: transmitting the prediction model and/or parameters indicative of the prediction model to the one or more other electronic devices.

Assignees

• Sony Corp
• Sony Group Corp

Inventors

• Isberg Anders
• Huang Sangxia

Classifications

• Y02D30/70

  in wireless communication networks · CPC title

• H04W4/50

  Service provisioning or reconfiguring · CPC title

• H04Q2209/883

  where the sensing device enters an active or inactive mode · CPC title

• H04W84/18

  Self-organising networks, e.g. ad-hoc networks or sensor networks · CPC title

• H04W76/10

  Connection setup · CPC title