Context specific management in wireless sensor network

Patent metadata

Field	Value
Publication number	US-9316720-B2
Application number	US-201414463733-A
Country	US
Kind code	B2
Filing date	Aug 20, 2014
Priority date	Feb 28, 2014
Publication date	Apr 19, 2016
Grant date	Apr 19, 2016

Abstract

A networked system for managing a physical intrusion detection/alarm includes an upper tier of server devices, comprising: processor devices and memory in communication with the processor devices, a middle tier of gateway devices that are in communication with upper tier servers, and a lower level tier of devices that comprise fully functional nodes and constrained nodes. The networked has a device configured to receive sensory inputs from credentials or badges and determine virtual groups of individuals associated with received credential data and apply rules to grouping information to track and detect individuals within virtual groups.

First claim

What is claimed is:

1. A networked system for physical intrusion detection/alarm monitoring comprises;
one or more computing devices, comprising processor devices and memory in communication with the processor devices, configured to:
receive sensory inputs from credentials or badges affixed to individuals containing wireless network nodes within a monitored premises;
determine virtual groups of individuals associated with the received credential data by determining from the received inputs relative proximity of individuals to each other over periods of time;
store the determined virtual groups of individuals into a list of tag locations as grouping information;
modify the grouping information over time frames of configurable duration, based on the virtual groupings by changing the list of tag locations for each virtual group as virtual group membership changes; and
apply rules set to the grouping information to track and detect individuals within the virtual group.

2. The networked system of claim 1 wherein locations of individuals are determined by triangulation of credential data from at least one of plural credential reading devices or transmission power level sweeping.

3. The networked system of claim 1 wherein messages are passed between name badge nodes and other sensor network nodes in a premises that is monitored.

4. The networked system of claim 1 , further comprising:
a network gateway, and wherein after a period of time an application running in the network gateway computes the location of each of the individuals and a group identifier application scans the list of tag locations.

5. The networked system of claim 1 wherein the groupings are dynamic in that the groupings form, dissolve, and otherwise change in real-time as new information is made available regarding current locations of the individuals.

6. The networked system of claim 1 wherein the groupings are “fuzzy” in that a given individual is assigned to a group with a certain degree of certainty/uncertainty derived from past experience.

7. The networked system of claim 1 wherein the one or more computing devices are further configured to:
apply rules to define a test for virtual group membership.

8. The networked system of claim 1 wherein the one or more computing devices is a single device in the networked system.

9. The networked system of claim 1 wherein the one or more computing devices is a plurality of distributed devices of a set of end-nodes and combinations of network nodes and hosts.

10. The networked system of claim 1 wherein the rules applied are context specific rules or sets of rules that are application code modules loaded into the devices and that change over time, using real-time code relocation and execution.

11. The networked system of claim 1 wherein the rules applied are context specific rules or sets of rules that are application code modules loaded into the devices and that change over time, using real-time code relocation and execution and with the context specific rule implement application logic for context specific management to determine associations among individuals based on a determined associative expectation.

12. A method of detection of physical intrusion within a monitored area, the method comprising:
receiving by one or more computing devices, sensory inputs from credentials or badges affixed to individuals containing wireless network nodes within a monitored premises;
determining by the one or more computing devices, virtual groups of individuals associated with the received credential data by determining from the received inputs relative proximity of individuals to each other over periods of time;
storing by the one or more computing devices, the determined virtual groups of individuals into a list of tag locations as grouping information;
modify by the one or more computing devices the grouping information over time frames of configurable duration, based on the virtual groupings by changing the list of tag locations for each virtual group as virtual group membership changes; and
applying by the one or more computing devices, a rules set to the grouping information to track and detect individuals within the virtual groupings.

13. The method of claim 12 further comprising:
receiving by the one or more computing devices, modifications of the rules; and
updating sensors on the network according to the modifications made to the rules.

14. The method of claim 12 wherein locations of individuals are determined by triangulation of credential data from at least one of plural credential reading devices or transmission power level sweeping.

15. The method of claim 12 , further comprising:
computing by an application running on a network gateway system, the location of each of the individuals; and
scanning by an application running in the network gateway system the list of tag locations.

16. The method of claim 12 wherein the groupings are dynamic in that the groupings form, dissolve, and otherwise change in real-time as new information is made available regarding current locations of the individuals.

17. The method of claim 12 wherein the groupings are “fuzzy” in that a given individual is assigned to a group with a certain degree of certainty/uncertainty derived from past experience.

18. The method of claim 12 wherein the one or more computing devices are further configured to:
apply rules that define a test for virtual group membership.

19. The method of claim 12 wherein the one or more computing devices is a plurality of distributed devices of a set of end-nodes and combinations of network nodes and host systems and applying rules further comprises:
applying by the distributed devices the rules that are context specific rules or sets of rules that are application code modules loaded into the devices and that change over time, using real-time code relocation and execution.

20. The method of claim 12 wherein the one or more computing devices is a plurality of distributed devices of a set of end-nodes and combinations of network nodes and host systems and applying rules further comprises:
applying by the distributed devices the rules that are context specific rules or sets of rules that are application code modules loaded into the devices and that change over time, using real-time code relocation and execution and with the context specific rule implement application logic for context specific management to determine associations among individuals based on a determined associative expectation.

Assignees

• Rasband Paul B
• Tyco Fire & Security Gmbh

Inventors

• Rasband Paul B

Classifications

• G08B13/2451

  Specific applications combined with EAS · CPC title

• G01S5/0236 Primary

  Assistance data, e.g. base station almanac · CPC title

• G07C9/20

  involving the use of a pass · CPC title

• G08B25/009

  Signalling of the alarm condition to a substation whose identity is signalled to a central station, e.g. relaying alarm signals in order to extend communication range · CPC title

• H04N7/181

  for receiving images from a plurality of remote sources · CPC title