Sensor Deployment With Target Regions

• US 20160191855A1
• Filed: 02/18/2015
• Published: 06/30/2016
• Est. Priority Date: 12/30/2014
• Status: Abandoned Application

• Current Assignee: Invent.ly LLC
• Original Assignee: Invent.ly LLC
• Inventors: Gonzalez-Banos, Hector H., Ghias, Asif
• Application Number:
  US14/624,989
• Publication Number:
  US 20160191855A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01D 1/00 Measuring arrangements giving results other than momentary value of variable, of general application G01D3/00 takes precedence; in tariff metering apparatus G01D4/00; transducers not specially adapted for a specific variable G01D5/00
• CPC Class Codes: G01D 21/00 Measuring or testing not otherwise provided for
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

The invention teaches an effective deployment strategy for sensors based on finding a set-cover solution of computational geometry. The system and methods of the invention teach embodiments to deploy sensors of varying capabilities in a workspace with real-world constraints. The workspace comprises a set of target regions or cells that are required to be observed. Sensor capabilities include having sensing stations with different types of sensors operating simultaneously to provide sensing, network or other types of coverages. Constraints include having range and directional constraints on the sensors, requiring sensing stations to be placed only within certain predetermined regions or locations of the workspace, and having a limited number of a certain type of sensors available. The invention finds a variety of real-world applications including tracking, coverage, and social media.

Claims

1. A system of determining a set of placement sites from a set of candidate sites {p₁, p₂, . . . , p_m} for at least one sensing station in a workspace, comprising:

a) at least one sensed station, each said sensed station in a target region in said workspace, said target regions represented by set X;

b) zero or more obstructions in said workspace;

c) at least one sensing region v_k(p) around each said at least one sensing station when said sensing station is at a candidate site p in said workspace, as a collection of each said target region such that said sensing station is able to sense said target region if said sensing station can sense said at least one sensed station in said target region when said sensed station is located anywhere in a portion of said target region as given by a measure C of said target region above a predetermined threshold, notwithstanding said obstructions;

d) a sensing range and a sensing orientation of said at least one sensing station constraining its said at least one sensing region v_k(p);

e) a composite sensing region v(p) of each said at least one sensing station as a collection of all said k sensing regions v_k(p) when the corresponding sensing station is at said candidate site p in said workspace;

f) a set family ={R₁, R₂, . . . , R_m} whose union is said set X and said at least one sensing station at a candidate site p_i in said workspace is able to sense each said target region in set R_i;

wherein said set of placement sites are chosen from said set of candidate sites {9₁, p₂, . . . , p_m} based on a minimum set-cover for set system Σ

={X, }.

2. The system of claim 1 wherein said measure C represents a number of spots within said target region.

3. The system of claim 1 wherein said measure C represents one of area, volume, a fraction of the perimeter length or a number of vertices of said target region.

4. The system of claim 1 wherein said threshold equals 100% of said measure C.

5. The system of claim 1 wherein said target regions represent cells in a grid decomposition of said workspace.

6. The system of claim 1, wherein said composite sensing region v(p) for each said at least one sensing station is a union of said k sensing regions v_k(p) when said sensing station is at said candidate site p in said workspace.

7. The system of claim 1, wherein said composite sensing region v(p) for each said at least one sensing station is an intersection of said k sensing regions v_k(p) when said sensing station is at said candidate site p in said workspace.

8. The system of claim 1, wherein said composite sensing region v(p) for each said at least one sensing station is based on a set operation defined on said k sensing regions v_k(p) when said sensing station is at said candidate site p in said workspace.

9. The system of claim 1, wherein said at least one sensed station merely represents the location of said at least one sensed station in said target region.

10. The system of claim 1, wherein said set X represents the entirety of said workspace.

11. The system of claim 1, wherein said set of placement sites guarantees that each said target region is able to be sensed by two or more said at least one sensing stations, when said sensing stations are at said placement sites.

12. The system of claim 1 wherein each said candidate site further comprises the three-dimensional coordinates of the location of said candidate site in said workspace and said sensing orientation in three-dimensional Euclidean space of said at least one sensing station at said location.

13. The system of claim 1 wherein each said candidate site further comprises the three-dimensional coordinates of the location of said candidate site in said workspace and said sensing orientation in three-dimensional Euclidean space of said at least one sensing station at said location is unconstrained.

14. The system of claim 1 wherein each said candidate site further comprises the two-dimensional coordinates of the location of said candidate site in said workspace and said sensing orientation in two-dimensional Euclidean space of said at least one sensing station at said location.

15. The system of claim 1 wherein each said candidate site further comprises the two-dimensional coordinates of the location of said candidate site in said workspace and said sensing orientation in two-dimensional Euclidean space of said at least one sensing station at said location is unconstrained.

16. The system of claim 1, wherein there is a predetermined number of said at least one sensing stations.

17. The system of claim 1, wherein the locations of said placement sites in said workspace can only be chosen from a predetermined set of locations in said workspace.

18. The system of claim 1, wherein the locations of said placement sites in said workspace can only exist in a predetermined region in said workspace.

19. The system of claim 1, wherein said candidate sites {p₁, p₂, . . . , p_m} overlap with said target regions in said set X in said workspace.

20. The system of claim 1, wherein said candidate sites {p₁, p₂, . . . , p_m} do not overlap with said target regions in said set X in said workspace.

21. The system of claim 1, wherein said minimum set-cover is derived based on a Greedy algorithm solution.

22. The system of claim 1, wherein said minimum set-cover is derived based on a polynomial-time solution.

23. The system of claim 18, wherein said solution is of size at most a factor (d log dC*) from its optimal size C* where d is the Vapnik-Chervonenkis dimension (VC-dimension) of said set system Σ

={X, }.

24. The system of claim 19, wherein said Vapnik-Chervonenkis dimension is bounded by (log h) where h represents the number of said obstructions.

25. The system of claim 1, wherein said at least one sensing station comprises a camera and said set X comprises a surveillance space.

26. The system of claim 1, wherein said at least one sensing station comprises wireless sensor(s) operating substantially at a frequency of 60 GHz.

27. The system of claim 1, wherein said at least one sensed station comprises wireless sensor(s) operating substantially at a frequency of 60 GHz.

28. The system of claim 1, wherein said workspace comprises a video.

29. The system of claim 1, wherein said at least one sensing station comprises one of a person or product, and said workspace comprises a social graph.

30. The system of claim 29, wherein said target regions are cliques in said social graph.

31. The system of claim 1, wherein said workspace is a geographical place, said at least one sensing station and said at least one sensed station comprise living beings, said candidate sites comprise geo-location coordinates and said target regions comprise locations in said geographical place.

32. The system of claim 1, wherein said workspace is a geographical place, said at least one sensing station and said at least one sensed station comprise objects, said candidate sites comprise geo-location coordinates and said target regions comprise locations in said geographical place.

33. A system of determining a set of placement sites from a set of candidate sites {p₁, p₂, . . . , p_m} for at least one sensing station in a workspace, comprising:

a) at least one sensed station, each said sensed station in a target region in said workspace, said target regions represented by set X;

b) zero or more obstructions in said workspace;

c) at least one sensing region v_k(p) around each said at least one sensing station when said sensing station is at a candidate site p in said workspace, as a collection of each said target region such that said sensing station is able to sense said target region if said sensing station can communicate with said at least one sensed station in said target region when said sensed station is located anywhere in a portion of said target region as given by a measure C of said target region above a predetermined threshold, notwithstanding said obstructions;

d) a sensing range and a sensing orientation of said at least one sensing station constraining its said at least one sensing region v_k(p);

e) a composite sensing region v(p) of each said at least one sensing station as a collection of all said k sensing regions v_k(p) when the corresponding sensing station is at said candidate site p in said workspace;

f) a set family ={R₁, R₂, . . . , R_m} whose union is said set X and said at least one sensing station at a candidate site p_i in said workspace is able to sense said target regions in set R_i;

wherein said set of placement sites is chosen from said set of candidate sites {p₁, p₂, . . . , p_m} based on a minimum set-cover for set system Σ

={X, }.

34. A method for determining a set of placement sites from a set of candidate sites {p₁, p₂, . . . , p_m} for at least one sensing station in a workspace, comprising the steps of:

a) providing at least one sensed station in a target region in said workspace, and representing said target regions by set X;

b) providing zero or more obstructions in said workspace;

c) providing at least one sensing region v_k(p) around each said at least one sensing station when said sensing station is at a candidate site p in said workspace, to be a collection of each said target region such that said sensing station is able to sense said target region if said sensing station can sense said at least one sensed station in said target region when said sensed station is located anywhere in a portion of said target region as given by a measure C of said target region above a predetermined threshold, notwithstanding said obstructions;

d) providing a sensing range and a sensing orientation for each said at least one sensing station to constrain its said at least one sensing region v_k(p);

e) providing a composite sensing region v(p) for each said at least one sensing station to be a collection of all said k sensing regions v_k(p) when said sensing station is at said candidate site p in said workspace;

f) providing a set family ={R₁, R₂, . . . , R_m} whose union is said set X and said at least one sensing station at a candidate site p_i in said workspace is able to sense each said target region in set R_i; and

choosing said placement sites from said candidate sites {p₁, p₂, . . . , p_m} based on a minimum set-cover for set system Σ

={X, }.

35. A method for determining a set of placement sites from a set of candidate sites {p₁, p₂, . . . , p_m} for at least one sensing station in a workspace, comprising the steps of:

a) providing at least one sensed station in a target region in said workspace, and representing said target regions by set X;

b) providing zero or more obstructions in said workspace;

c) providing at least one sensing region v_k(p) around each said at least one sensing station when said sensing station is at a candidate site p in said workspace, to be a collection of each said target region such that said sensing station is able to sense said target region if said sensing station can communicate with said at least one sensed station in said target region when said sensed station is located anywhere in a portion of said target region as given by a measure C of said target region above a predetermined threshold, notwithstanding said obstructions;

d) providing a sensing range and a sensing orientation for each said at least one sensing station to constrain its said at least one sensing region v_k(p);

e) providing a composite sensing region v(p) for each said at least one sensing station to be a collection of all said k sensing regions v_k(p) when the corresponding sensing station is at said candidate site p in said workspace;

f) providing a set family ={R₁, R₂, . . . , R_m} whose union is said set X and said at least one sensing station at a candidate site p_i in said workspace is able to sense each said target region in set R_i; and

choosing said placement sites from said candidate sites {p₁, p₂, . . . , p_m} based on a minimum set-cover for set system Σ

={X, }.