Emulating Increased Sample Frequency in a Wireless Sensor Node and/or a Wireless Sensor Network

• US 20110158331A1
• Filed: 12/30/2010
• Published: 06/30/2011
• Est. Priority Date: 12/31/2009
• Status: Abandoned Application

• Current Assignee: Sensys Networks Inc. (Tagmaster AB)
• Original Assignee: Sensys Networks Inc. (Tagmaster AB)
• Inventors: Kavaler, Robert, Raman, Akhila
• Application Number:
  US12/982,836
• Publication Number:
  US 20110158331A1
• Time in Patent Office: Days
• US Class Current: 375/259
• CPC Class Codes: G08G 1/00 Traffic control systems for road vehicles arrangement of road signs or traffic signals E01F9/00 ; automatic vehicle control B62D
• CPC Class Codes: G08G 1/01 Detecting movement of traffic to be counted or controlled G08G1/07 - G08G1/14 take precedence
• CPC Class Codes: H04L 25/0266 Arrangements for providing Galvanic isolation, e.g. by means of magnetic or capacitive coupling
• CPC Class Codes: H04L 7/00 Arrangements for synchronising receiver with transmitter synchronisation of generators of electric oscillations or pulses H03L7/00

Abstract

Apparatus and processors for wireless sensor nodes are disclosed emulating increasing the sampling frequency of the sensors of the wireless sensor nodes. Apparatus and processors are disclosed using the improved sensor readings to generate vehicle parameters for vehicles passing near one of the nodes, movement estimates and traffic ticket messages, any of which may be sent to other systems. Some of these embodiments may be used with and/or in the wireless sensor nodes and/or with or in an access point for the wireless sensor nodes. Installation devices and/or servers and/or computer readable memories are disclosed for delivering the operational configurations and/or installation packages and/or program systems to the various embodiments of the apparatus and/or processors.

Claims

1. An apparatus for use in a wireless sensor node, comprising:

a processor configured to receive a sensor reading N times per time unit generated by a sensor and to generate at least one improved estimate and/or an improved time stamp emulating said sensor readings received at least twice said N times per time unit, wherein said N is at least two.

2. The wireless sensor node of claim 1, comprising:

said apparatus; and

a battery configured to provide electrical power to the apparatus.

3. An integrated circuit and/or a circuit board, comprising the apparatus of claim 1.

4. The apparatus of claim 1, wherein said sensor readings are distributed in one of evenly throughout said time unit and unevenly throughout said time unit.

5. The apparatus of claim 1, wherein said sensor includes at least one of a magnetic sensor, an electrostatic sensor, a humidity sensor, a proximity sensor, an accelerometer, a radar, a strain sensor, an optical sensor and a temperature sensor.

6. The apparatus of claim 5, wherein said magnetic sensor includes at least one of a magneto-resistive sensor, an inductive loop, and at least one instance of a Hall sensor;

wherein said optical sensor includes at least one of a Charge Coupled Device;

wherein said accelerometer includes at least one of a MEMS accelerometer and a piezoelectric accelerometer.

7. The apparatus of claim 1, wherein said improved estimate includes at least one of an improved sensor reading and an improved reading characteristic,

with said improved reading characteristic including at least one of an edge estimate, an extrema estimate, and/or a frequency domain estimate.

8. The apparatus of claim 7, wherein said processor is further configured to

upsample filter said sensor readings to generate said improved sensor reading and/or said improved time stamp and

generate said improved reading characteristic based upon said improved sensor reading.

9. The apparatus of claim 8, wherein said processor is further configured to low pass filter said sensor readings to generate low pass readings, and

said processor further generates said improved sensor reading based upon said upsample filter applied to said low pass readings.

10. The apparatus of claim 9, wherein said processor includes at least one of

means for generating said improved estimate and/or said improved time stamp emulating said sensor readings received at least twice said N times per time unit;

means for said low pass filter;

means for said upsample filter; and

means for generating said improved reading characteristic and/or said improved time stamp.

12. The apparatus of claim 10, wherein at least one member of a means group includes at least one instance of one of said finite state machine, said computer, an accessible memory containing a program system configured to instruct said computer;

wherein said means group consists of said processor, said means for generating said improved estimate and/or said improved time stamp, said means for said low pass filter, said means for said upsample filter, and said means for generating said improved reading characteristic.

13. The apparatus of claim 12, further includes at least one member of an installation group consisting of an installation device, a server and a computer readable memory, with said member including said program system and/or an installation package configured to instruct said computer to install said program system in said processor.

14. The apparatus of claim 12, wherein said program system includes and/or said finite state machine is configured to support at least part of at least one of the steps of:

generating said improved estimate with said improved time stamp emulating said sensor readings received at least twice said N times per time unit, further comprising at least one of the steps of

upsampling based upon said sensor readings to generate said improved sensor readings; and

low pass filtering said sensor readings to support generation of said improved sensor readings; and

generating said improved reading characteristic based upon said improved sensor readings, further comprising at least one of

generating said edge estimate;

generating said extrema estimate; and

generating said frequency domain estimate.

15. The apparatus of claim 1, wherein said processor is further configured to use at least one of a transmitter and/or a receiver,

with said transmitter used to transmit at least said improved estimate and/or said improved time stamp, and

with said receiver used to synchronize said wireless sensor node to said time unit.

16. The apparatus of claim 7, wherein said edge estimate indicates one of a rising edge, a falling edge, a leading edge and/or a trailing edge;

wherein said extrema estimate indicates one of a local minimum estimate and a local maximum estimate; and

wherein said frequency domain estimate includes at least one frequency band estimate.

17. The apparatus of claim 15,

wherein at least one of said transmitter and said receiver uses a carrier in at least one of an optical band, an infrared band and a radio band;

and

wherein at least one of said transmitter and said receiver uses at least one of a Time Division Multiple Access (TDMA) scheme, a Frequency hopping scheme, a time hopping scheme, a code division multiple access (CDMA) scheme and an Orthogonal Frequency Division Modulation (OFDM) scheme.

18. The apparatus of claim 17, wherein at least one of said transmitter and said receiver are compatible with a version of at least one of an Institute for Electrical and Electronic Engineers (IEEE) 802[period]15[period]4 protocol, an IEEE 802[period]11 protocol, a Bluetooth protocol and a Bluetooth low power protocol.

19. A second apparatus for said wireless sensor nodes implementing the apparatus of claim 7, including

said second apparatus configured to receive said improved sensor report from each of at least two of said wireless sensor nodes to create said reading characteristics for said wireless sensor node in response to said presence of a vehicle near said wireless sensor node, and

a second processor configured to generate at least one of a vehicle parameter of said vehicle, a movement estimate of said vehicle passing between said wireless sensor nodes, and a traffic ticket message.

20. The second apparatus of claim 19, wherein said movement estimate of said vehicle includes at least one of a velocity estimate and an acceleration estimate;

and

wherein said vehicle parameter includes at least one of a vehicle length, a number of axles, and at least one axle position.

21. The second apparatus of claim 20, wherein said movement estimate is based upon at least one of

a first correlation of said extrema estimates from said wireless sensor nodes to create a correlated extrema and

a second correlation of said edge estimates from said wireless sensor nodes to create a correlated edges.

22. The second apparatus of claim 21, wherein said second processor is further configured to perform at least one of

generate a confidence estimate for said movement estimate, and

generate said movement estimate further based upon a difference of said time stamps of said correlated extrema and/or said correlated edges.

23. The second apparatus of claim 19, further comprising said second processor configured to communicate with an access point to receive said improved sensor reports.

24. The second apparatus of claim 23, further comprising a removable interface coupled to said second processor, with said second processor configured to use said removable interface to receive said improved sensor report.

25. The second apparatus of claim 19, wherein said second processor comprises at least one of

means for receiving said improved sensor report from each of at least two of said wireless sensor nodes to create said table of said improved reading characteristics for said wireless sensor node;

means for first generating said vehicle parameter of said vehicle;

means for second generating said movement estimate of said vehicle passing between said wireless sensor nodes;

means for third generating said traffic ticket message; and

means for sending at least one of said movement estimate and said traffic ticket message to said other system.

26. The second apparatus of claim 25, wherein at least one member of a means group includes at least one implementation of at least one of a second finite state machine, a second computer and a second accessible memory including a second program system configured to instruct said second computer,

with said means group consisting of said members:

said second processor, said means for receiving, said means for first generating, said means for second generating, said means for third generating, and said means for sending.

27. The second apparatus of claim 26,

wherein said second program system includes, and/or said second finite state machine is configured to support, at least part of at least one of said steps of:

receiving said improved sensor report from each of at least two of said wireless sensor nodes to create said table of said improved reading characteristics for said wireless sensor node;

first generating said vehicle parameter of said vehicle;

second generating said movement estimate of said vehicle;

third generating said traffic ticket message based upon said movement estimate and/or said vehicle parameter; and

sending at least one of said vehicle parameter, said movement estimate, and/or said traffic ticket message to a traffic speed enforcement system.

28. A second circuit board and/or a second integrated circuit including said second processor of claim 19.

29. An access point configured to wirelessly communicate with said wireless sensor nodes of claim 19, comprising:

said second processor.

30. An apparatus (800), comprising:

a processor (820) configured to

respond to sensor reports received from at least two wireless sensor nodes by creating at least one table of sensor estimates for each of said wireless sensor nodes emulating sensor readings being generated by said wireless sensor node N times per time unit, with said N is at least two, and

respond to said table of said sensor reading estimates to generate at least one improved estimate and/or an improved time stamp emulating said sensor readings received at least twice said N times per time unit.

31. The apparatus of claim 30, wherein said sensor readings are distributed in one of evenly throughout said time unit and unevenly throughout said time unit.

32. The apparatus of claim 30, wherein at least one of said wireless sensor nodes is configured to generate said sensor reading from at least one sensor of a magnetic sensor, an electrostatic sensor, a humidity sensor, a proximity sensor, an accelerometer, a radar, a strain sensor, an optical sensor and a temperature sensor;

wherein said magnetic sensor includes at least one of a magneto-resistive sensor, an inductive loop, and at least one instance of a Hall sensor;

wherein said optical sensor includes at least one of a Charge Coupled Device; and

wherein said accelerometer includes at least one of a MEMS accelerometer and a piezoelectric accelerometer.

33. The apparatus of claim 30, wherein said improved estimate includes at least one of an improved sensor reading and an improved reading characteristic,

with said reading characteristic including at least one of an edge estimate, an extrema estimate, a frequency domain estimate.

34. The apparatus of claim 33, wherein said processor is configured to upsample filter said sensor readings to create said improved sensor reading, and

said processor is further configured to generate said improved reading characteristic based upon said improved sensor reading.

35. The apparatus of claim 34, wherein said processor is further configured to low pass filter said sensor estimates to generate low pass filter readings further used to generate said improved reading characteristic.

36. The apparatus of claim 33, wherein said edge estimate includes at least one of a rising edge, a falling edge, a leading edge and/or a trailing edge;

wherein said extrema estimate includes at least one of a local minimum estimate and a local maximum estimate; and

wherein said frequency domain estimate includes at least one frequency band estimate.

37. The apparatus of claim 33, wherein said processor is further configured to generate at least one of a vehicle parameter of said vehicle, a movement estimate of said vehicle passing between said wireless sensor nodes, and a traffic ticket message;

wherein said movement estimate of said vehicle includes at least one of a velocity estimate and an acceleration estimate; and

wherein said vehicle parameter includes at least one of a vehicle length, a number of axles, and at least one axle position.

38. The apparatus of claim 37, wherein said movement estimate is based upon at least one of

a first correlation of said extrema estimates from said wireless sensor nodes to create a correlated extrema and

a second correlation of said edge estimates from said wireless sensor nodes to create a correlated edges.

39. The apparatus of claim 38, wherein said processor is further configured to perform at least one of

generate a confidence estimate for said movement estimate, and

generate said movement estimate further based upon a difference of said time stamps of said correlated extrema and/or said correlated edges.

40. The apparatus of claim 37, further comprising said processor configured to communicate with an access point to receive said sensor reports.

41. The apparatus of claim 40, further comprising a removable interface coupled to said processor, with said processor configured to use said removable interface to receive said sensor report.

42. The apparatus of claim 37, wherein said processor comprises at least one of

means for responding to said sensor reports received to create said table of sensor estimates;

means for responding to said table of said sensor estimates to generate said improved estimate and/or said improved time stamp;

means for first generating said vehicle parameter of said vehicle;

means for second generating said movement estimate of said vehicle passing between said wireless sensor nodes;

means for third generating said traffic ticket message; and

means for sending at least one of said movement estimate and said traffic ticket message to an other system.

43. The apparatus of claim 42, wherein at least one member of a means group includes at least one implementation of at least one of a finite state machine, a computer and an accessible memory including a program system configured to instruct said computer;

wherein said means group consists of said members of

said processor,

said means for responding to said sensor reports,

said means for responding to said table of said sensor readings,

means for first generating said vehicle parameter of said vehicle;

means for second generating said movement estimate of said vehicle passing between said wireless sensor nodes;

means for third generating said traffic ticket message; and

means for sending at least one of said movement estimate and said traffic ticket message to said other system.

44. The apparatus of claim 43, wherein said program system includes, and/or said finite state machine configured to support, at least part of at least one of said steps of:

responding to said sensor reports received to create at least one table of sensor readings for each of said wireless sensor nodes emulating said sensor readings being generated by said wireless sensor node N times per time unit,

responding to said table of said sensor reading estimates to generate at least one improved estimate with an improved time stamp emulating said sensor readings received at least twice said N times per time unit,

first generating said vehicle parameter of said vehicle;

second generating said movement estimate of said vehicle;

third generating said traffic ticket message based upon said movement estimate and/or said vehicle parameter; and

sending at least one of said vehicle parameter, said movement estimate, and/or said traffic ticket message to a traffic speed enforcement system.

45. A circuit board and/or an integrated circuit including said processor of claim 30.

46. An access point configured to wirelessly communicate with said wireless sensor nodes of claim 30, comprising:

said processor.