IP Library Granted Patent US 12,556,427
Granted Patent B2
US 12,556,427 · App. 18/449,376 · Granted Feb 17, 2026

Network router with customizable radio configurations

Inventors: David L. Pulling (San Jose, CA); Scott Lincke (San Carlos, CA); David Laone (Milwaukee, WI); Tazmin Pirani (Toronto, CA); Greg Mora (Tomball, TX)
Assignee: Tyco Fire & Security GmbH
H04L12/2898H04W84/12
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Quick Facts
Patent No.
US 12,556,427
App. No.
18/449,376
Granted
Feb 17, 2026
Kind
B2
Abstract

Example implementations include a method, apparatus, and computer-readable medium for a wireless router. The router includes a first radio frequency (RF) modem and a hardware card slot configured to receive an RF modem card configured to communicate according to a second RF protocol with one or more electronic devices. The router is configured to identify first events based on the traffic on a first WLAN protocol; translate the input received from the one or more electronic devices to a feature of a device profile; identify second events based on input received from the one or more electronic devices via the second RF protocol; generate a command to control a first device of the wireless devices or the electronic devices based on the device; and translate the command from the device profile of the first device to the first WLAN protocol or the second RF protocol.

Claims (41)

1 . A wireless router, comprising:

a first radio frequency (RF) modem configured to route traffic among one or more first devices according to a first wireless local area network (WLAN) protocol, wherein the traffic includes Internet protocol traffic and the wireless router is configured to provide Internet access to the one or more wireless devices;

at least one hardware card slot configured to receive an RF modem card configured to communicate according to a second RF protocol with one or more electronic devices, the RF modem card configured to execute a service application to communicate with the one or more electronic devices via the second RF protocol;

a rules engine configured to:

identify first events based on the traffic on the first WLAN protocol;

identify second events based on input received from the one or more electronic devices via the second RF protocol; and

generate a command to control a target device of the wireless devices or the second devices based on a device profile of the target device; and

a translation layer configured to:

translate the input received from the one or more second devices to a feature of the device profile of the target device; and

translate the command from the device profile of the target device to the first WLAN protocol or the second RF protocol.

2 . The wireless router of claim 1 , wherein the rules engine is configurable via one or more of the first devices with one or more rules defining conditions based on the first events or the second events and defining actions based on commands included in the device profile.

3 . The wireless router of claim 1 , wherein the rules engine includes a machine learning model configured to detect the first event based on a classification of the traffic on the first WLAN protocol.

4 . The wireless router of claim 1 , wherein the rules engine includes a machine learning model configured to detect the first event based on an anomaly in traffic patterns on the first WLAN protocol.

5 . The wireless router of claim 1 , wherein the device profile of the first device includes a feature set selected from generic features applicable to a plurality of devices.

6 . The wireless router of claim 1 , wherein the device profile of the first device identifies an interface with the first RF modem or the RF modem card via which the first device is connected to the wireless router.

7 . A method of operating a wireless router, comprising:

routing traffic among one or more first devices according to a first wireless local area network (WLAN) protocol, wherein the traffic includes Internet protocol traffic and the wireless router is configured to provide Internet access to the one or more first devices;

identifying a first event based on the traffic on the first WLAN protocol;

receiving input from one or more second devices via a removable RF modem card, wherein the RF modem card is configured to execute a service application to communicate with the one or more second devices via a second RF protocol;

translating the input received from the one or more second devices to a feature of a device profile corresponding to the one or more second devices;

identifying a second event based on the feature of the device profile corresponding to the one or more second devices;

generating a command to control a target device of the first devices or the second devices based on a device profile of the target device in response to the first event or the second event; and

translating the command from the device profile of the target device to the first WLAN protocol or the second RF protocol.

8 . The method of claim 7 , further comprising receiving a configuration from one of the first devices with one or more rules defining conditions based on the first event or the second event and defining actions based on commands included in the device profile.

9 . The method of claim 7 , wherein identifying the first event based on the traffic on the first WLAN protocol comprises applying the traffic to a machine learning model configured to detect the first event based on a classification of the traffic on the first WLAN protocol.

10 . The method of claim 7 , wherein identifying the first event based on the traffic on the first WLAN protocol comprises applying the traffic to a machine learning model configured to detect the first event based on an anomaly in traffic patterns on the first WLAN protocol.

11 . The method of claim 7 , wherein the device profile of the target device includes a feature set selected from generic features applicable to a plurality of devices.

12 . The method of claim 7 , wherein the device profile of the target device identifies an interface with the first RF modem or the RF modem card via which the target device is connected to the wireless router.

13 . A non-transitory computer-readable medium storing instructions executable by a processor of a wireless router, wherein the instructions, when executed, cause to the processor to:

route traffic among one or more first devices according to a first wireless local area network (WLAN) protocol, wherein the traffic includes Internet protocol traffic and the wireless router is configured to provide Internet access to the one or more first devices;

identify a first event based on the traffic on the first WLAN protocol;

receive input from one or more second devices via a removable RF modem card, wherein the RF modem card is configured to execute a service application to communicate with the one or more second devices via a second RF protocol;

translate the input received from the one or more second devices to a feature of a device profile corresponding to the one or more second devices;

identify a second event based on the feature of the device profile corresponding to the one or more second devices;

generate a command to control a target device of the first devices or the second devices based on a device profile of the target device in response to the first event or the second event; and

translate the command from the device profile of the target device to the first WLAN protocol or the second RF protocol.

14 . The non-transitory computer-readable medium of claim 13 , further comprising instructions to receive a configuration from one of the first devices with one or more rules defining conditions based on the first event or the second event and defining actions based on commands included in the device profile.

15 . The non-transitory computer-readable medium of claim 13 , wherein the instructions to identify the first event based on the traffic on the first WLAN protocol comprise instructions to apply the traffic to a machine learning model configured to detect the first event based on a classification of the traffic on the first WLAN protocol.

16 . The non-transitory computer-readable medium of claim 13 , wherein the instructions to identify the first event based on the traffic on the first WLAN protocol comprise instructions to apply the traffic to a machine learning model configured to detect the first event based on an anomaly in traffic patterns on the first WLAN protocol.

17 . The non-transitory computer-readable medium of claim 13 , wherein the device profile of the target device includes a feature set selected from generic features applicable to a plurality of devices.

18 . The non-transitory computer-readable medium of claim 13 , wherein the device profile of the target device identifies an interface with the first RF modem or the RF modem card via which the target device is connected to the wireless router.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 23, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 068494/0384 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 16, 2023
From: PULLING, DAVID L.; LINCKE, SCOTT; LAONE, DAVID; PIRANI, TAZMIN; MORA, GREG
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 064601/0429 →