# US 11,115,923 B2 · Method and control arrangement for controlling a response time of a wireless sensor device

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- Number: US 11,115,923 B2
- Document ID: US11115923B2
- Status: Granted
- Kind: B2
- Application number: 16/539,431
- Filed: 2019-08-13
- Published: 2020-02-20
- Granted: 2021-09-07
- Earliest claimed: 2018-08-14
- Assignees: Sony Group Corporation
- Applicants: Sony Corporation
- Inventors: Sangxia Huang
- Web page: https://patentgrep.com/patent/US11115923B2

## CPC

- H04W 4/029: Location-based management or tracking services
- H04W 52/0212: {managed by the network, e.g. network or access point is leader and terminal is follower}
- A01K 11/004: {with electronic identification means, e.g. transponders}
- A01K 29/005: {Monitoring or measuring activity}
- H04W 4/38: for collecting sensor information
- H04W 4/70: Services for machine-to-machine communication [M2M] or machine type communication [MTC]
- H04W 4/80: Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- A01K: ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS

## Abstract

An object monitoring system includes a plurality of wireless sensor devices and at least one user device A method for controlling a response time of one of the wireless sensor devices in such a system includes determining one or more metrics representing a present state of an object; and calculating a probability that one of at least one user devices will interact with the wireless sensor device within a pre-determined time period by executing a trained model with the one or more determined metrics as input and controlling the response time of the wireless sensor device based on the calculated probability.

## Claims

### Claim 1

A method, performed by a wireless sensor device, for controlling a response time of the wireless sensor device, wherein the wireless sensor device is arranged to monitor an object in an object monitoring system comprising a plurality of wireless sensor devices and at least one user device, the method comprising:
determining one or more metrics representing a present state of the object,
calculating a probability that one of the at least one user devices will interact with the wireless sensor device within a pre-determined time period by executing a trained model with the one or more determined metrics as input, and
controlling the response time based on the calculated probability,
wherein the response time is a time between wireless communication of a request from the user device to the wireless sensor device and execution of the request by the wireless sensor device, and
wherein controlling the response time includes decreasing the response time in view of an increasing calculated probability.

### Claim 2 (depends on 1)

The method according to claim 1, wherein the determining one or more metrics comprises obtaining sensor data captured by the wireless sensor device and determining the present state based on the obtained sensor data.

### Claim 3 (depends on 1)

The method according to claim 1, wherein the controlling comprises adapting an advertising frequency of the wireless sensor device.

### Claim 4 (depends on 1)

The method according to claim 1, wherein the controlling comprises adapting a reception window of the wireless sensor device.

### Claim 5 (depends on 1)

The method according to claim 1, wherein the metrics comprises one or more of:
metrics measured by the wireless sensor device,
metrics defining a status of the wireless sensor device, time metrics,
metrics defining a status of the object,
metrics defining a position of the object, and
metrics defining a position or status of one or more of the at least one user devices in the object monitoring system.

### Claim 6 (depends on 1)

The method according to claim 1, wherein the interacting comprises the user device activating or inactivating an alert or obtaining data from the wireless sensor device.

### Claim 7 (depends on 1)

The method according to claim 1, wherein the controlling comprises comparing the calculated probability to a threshold value.

### Claim 8 (depends on 1)

The method according to claim 1, further comprising:
obtaining first training data during a first time interval and
training the machine learning model using the first training data.

### Claim 9 (depends on 8)

The method according to claim 8, wherein the response time is controlled to assure a certain maximum response time while recording the first training data.

### Claim 10 (depends on 8)

The method according to claim 8, further comprising:
obtaining second training data during a second time interval, while controlling the response time based on the trained machine learning model, and
training the machine learning model based on the second training data.

### Claim 11 (depends on 8)

The method according to claim 8, comprising:
calculating a threshold value based on the first training data, wherein the controlling comprises comparing the calculated probability to the threshold value.

### Claim 12 (depends on 10)

The method according to claim 10, comprising:
calculating a threshold value based on the first training data or second training data, wherein the controlling comprises comparing the calculated probability to the threshold value.

### Claim 13

A control arrangement for use in an object monitoring system comprising a plurality of wireless sensor devices and at least one user device, the control arrangement being configured:
to determine one or more metrics representing a present state of an object of a plurality of objects in the object monitoring system based on data from a wireless sensor device associated with the object,
to calculate a probability that one of the at least one user devices will interact with the wireless sensor device arranged to the object within a pre-determined time period by executing a trained model with the one or more determined metrics as input, and
to control a response time based on the calculated probability,
wherein the response time is a time between wireless communication of a request from the user device to the wireless sensor device and execution of the request by the wireless sensor device, and
wherein controlling the response time includes decreasing the response time in view of an increasing calculated probability.

### Claim 14 (depends on 13)

A control arrangement according to claim 13, wherein the control arrangement is configured to determine the present state by obtaining sensor data captured by the wireless sensor device and determining the present state based on the obtained sensor data.

### Claim 15 (depends on 13)

A control arrangement according to claim 13, wherein the control arrangement is configured to control the response time by adapting an advertising frequency of the wireless sensor device.

### Claim 16 (depends on 13)

A control arrangement according to claim 13, wherein the control arrangement is configured to control the response time by adapting a reception window of the wireless sensor device.

### Claim 17 (depends on 13)

A control arrangement according to claim 13, wherein the metrics comprises one or more of:
metrics measured by the wireless sensor device,
metrics defining a status of the wireless sensor device,
time metrics,
metrics defining a status of the object,
metrics defining a position of the object, and
metrics defining a position or status of one or more of the at least one user devices in the object monitoring system.

### Claim 18 (depends on 13)

A control arrangement according to claim 13, wherein the interacting comprises the user device activating or inactivating an alert or obtaining data from the wireless sensor device.

### Claim 19 (depends on 13)

A control arrangement according to claim 13, wherein the controlling comprises comparing the calculated probability to a threshold value.

### Claim 20

An object monitoring system comprising:
a plurality of wireless sensor devices configured to monitor a plurality of objects,
at least one user device, and
a control arrangement being configured to:
determine one or more metrics representing a present state of an object of the plurality of objects in the object monitoring system based on data from a wireless sensor device associated with the object,
calculate a probability that one of the at least one user devices will interact with the wireless sensor device arranged to the object within a pre-determined time period by executing a trained model with the one or more determined metrics as input, and
control a response time based on the calculated probability,
wherein the response time is a time between wireless communication of a request from the user device to the wireless sensor device and execution of the request by the wireless sensor device, and
wherein controlling the response time includes decreasing the response time in view of an increasing calculated probability.
