Power optimizations for challenging WAN service conditions

• US 9,055,475 B2
• Filed: 03/15/2013
• Issued: 06/09/2015
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Lacatus, Catalin, Gill, Harleen K., Rosen, Eric C., Parikh, Hemish K., Doyle, Thomas F.
• Primary Examiner(s): Sorowar, Golam
• Application Number:
  US13/831,722
• Publication Number:
  US 20140274225A1
• Time in Patent Office: 816 Days
• Field of Search: 370/230.1, 370/235, 370/252, 370/255, 370/311, 370327-332, 370/338, 370/350, 370/384, 370/395.62, 370/445, 455/343.1, 455/404.2, 455/408, 455/41.2, 455/410, 455/414.1, 455/418, 455/419, 455/421, 455/423, 455/517, 455/435.2, 455/426.1
• US Class Current: 1/1
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 52/0241 where no transmission is received, e.g. out of range of the transmitter
• CPC Class Codes: H04W 52/0251 using monitoring of local events, e.g. events related to user activity
• CPC Class Codes: H04W 52/0261 managing power supply demand, e.g. depending on battery level
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A method for a tracking device optimizing power to remain reachable for a desired period based on evaluated wide-area-network conditions. The tracking device may communicate via a power-intensive long-range transceiver and may continually measure service conditions related to network communications. The tracking device may periodically calculate statistical information describing the service conditions, such as a percentage of time in which the tracking device was out-of-network-service. Based on the statistics, the tracking device may operate in an optimization mode to conserve power when out-of-network-service. In an embodiment, the tracking device may calculate the statistics based on evaluation periods defined by predefined numbers of out-of-network-service occurrences, predefined time periods, and/or a hybrid of both. In an embodiment, the tracking device may conserve power in a power save state that alternates with another operating state in which the tracking device periodically evaluates criteria before either continuing to conserve power or utilize network resources.

Claims

1. A method for a tracking device affixed to an asset to maintain reachability by reducing power consumption based on measured wide area network (WAN) conditions, comprising:

determining whether entry conditions for performing a power optimization algorithm are met by determining whether the tracking device has been activated for a predefined period of time, determining whether the tracking device has experienced an out-of-network-service condition for at least a predefined duration, determining whether the tracking device is engaged in an ongoing communication session, and determining whether the tracking device has received an on-demand localization communication within a predefined period;

generating statistics characterizing out-of-network-service conditions experienced during a period of time in response to determining the entry conditions are met;

determining whether the generated statistics characterizing out-of-network-service conditions experienced during the period of time indicate a predefined out-of-network-service condition by comparing the generated statistics characterizing out-of-network-service conditions experienced during the period of time to a predefined threshold value; and

operating in a power optimization mode by operating the tracking device in a power save state and an idle state for a number of cycles when the generated statistics characterizing out-of-network-service conditions experienced during the period of time indicate that the predefined out-of-network-service condition exists.

2. The method of claim 1, wherein generating statistics characterizing out-of-network-service conditions experienced during the period of time comprises:

determining whether a predefined number of out-of-network-service events have occurred;

measuring a first duration from an occurrence of a first out-of-network-service event and an occurrence of a final out-of-network-service event, wherein the first and final out-of-network-service events are within a set including the predefined number of out-of-network-service events;

calculating a second duration corresponding to a total amount of time the tracking device experienced the predefined number of out-of-network-service events during the first duration;

calculating a percentage value corresponding to a time the tracking device experienced out-of-network-service events based on the first duration and the second duration; and

calculating a third duration corresponding to the tracking device experiencing an ongoing out-of-network-service event.

3. The method of claim 1, wherein generating statistics characterizing out-of-network-service conditions experienced during the period of time comprises:

determining whether a first duration has elapsed;

calculating a second duration corresponding to a total amount of time the tracking device experienced out-of-network-service events occurring during the first duration;

calculating a first percentage value corresponding to a time the tracking device experienced out-of-network-service events based on the first duration and the second duration; and

calculating a third duration corresponding to the tracking device experiencing an ongoing out-of-network-service event.

4. The method of claim 3, further comprising:

determining whether a predefined number of out-of-network-service events have occurred before the first duration has elapsed;

measuring a fourth duration corresponding to an occurrence of a first out-of-network-service event and an occurrence of a final out-of-network-service event in response to determining that the predefined number of out-of-network-service events have occurred before the first duration has elapsed, wherein the first and final out-of-network-service events are within a set including the predefined number of out-of-network-service events;

calculating a fifth duration corresponding to a total amount of time the tracking device experienced the predefined number of out-of-network-service events during the fourth duration; and

calculating a second percentage value corresponding to the time the tracking device experienced out-of-network-service events based on the fourth duration and the fifth duration.

5. The method of claim 1, wherein operating in the power optimization mode by operating the tracking device in the power save state and the idle state for the number of cycles when the generated statistics characterizing out-of-network-service conditions experienced during the period of time indicate that the predefined out-of-network-service condition exists comprises:

calculating a first duration corresponding to the power save state and the number of cycles based on estimated information;

configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state; and

evaluating exit conditions during a second duration corresponding to the idle state.

6. The method of claim 5, wherein calculating the first duration corresponding to the power save state and the number of cycles based on estimated information comprises:

estimating WAN power consumption information;

estimating GPS power consumption information;

estimating reachability cost information; and

calculating the first duration corresponding to the power save state and the number of cycles based on at least one of the estimated WAN power consumption information, the estimated GPS power consumption information, and the estimated reachability cost information.

7. The method of claim 6, wherein estimating WAN power consumption information comprises:

estimating information corresponding to at least one of a call manager off event, establishing a network connection, the tracking device operating in a current power optimization mode, a WAN search, a WAN idle; and

estimating WAN power consumption information based on the estimated information.

8. The method of claim 6, wherein estimating GPS power consumption information comprises:

estimating information corresponding to at least one of GPS environment conditions, current GPS power consumption information based on modem data, GPS fix accuracy information, and time uncertainty information; and

estimating GPS power consumption information based on the estimated information.

9. The method of claim 6, wherein estimating reachability cost information comprises:

identifying set reachability weights;

estimating available battery capacity;

estimating a geofence state, wherein the geofence state is an indicator of the tracking device being inside or outside a geofence area; and

estimating reachability cost information based on at least one of the identified set reachability weights, the estimated available battery capacity, and the estimated geofence state.

10. The method of claim 5, further comprising:

determining whether the exit conditions are met during the second duration corresponding to the idle state by;

determining whether the tracking device has operated in the power save state and the idle state for the number of cycles;

determining whether a tracking device detach event is detected;

determining whether a breach event is detected;

determining whether another on-demand localization communication is received; and

determining whether battery service life is below a certain level; and

discontinuing operating in the power optimization mode when the tracking device determines that the exit conditions are met during the second duration corresponding to the idle state.

11. The method of claim 5, wherein configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state comprises deactivating at least one of a modem, a temperature-controlled crystal oscillator, a demodulator, a modulator, a call manager, a long-range transceiver, RF radios, firmware, firmware updating routines.

12. The method of claim 5, wherein configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state comprises discontinuing at least one of maintenance of a WAN state and polling of a subscriber identity module.

13. A tracking device, comprising:

means for determining whether entry conditions for performing a power optimization algorithm are met by determining whether the tracking device has been activated for a predefined period of time, determining whether the tracking device has experienced an out-of-network-service condition for at least a predefined duration, determining whether the tracking device is engaged in an ongoing communication session, and determining whether the tracking device has received an on-demand localization communication within a predefined period;

means for generating statistics characterizing out-of-network-service conditions experienced during a period of time in response to determining the entry conditions are met;

means for determining whether the generated statistics characterizing out-of-network-service conditions experienced during the period of time indicate a predefined out-of-network-service condition by comparing the generated statistics characterizing out-of-network-service conditions experienced during the period of time to a predefined threshold value; and

means for operating in a power optimization mode by operating the tracking device in a power save state and an idle state for a number of cycles when the generated statistics characterizing out-of-network-service conditions experienced during the period of time indicate that the predefined out-of-network-service condition exists.

14. The tracking device of claim 13, wherein means for generating statistics characterizing out-of-network-service conditions experienced during the period of time comprises:

means for determining whether a predefined number of out-of-network-service events have occurred;

means for measuring a first duration from an occurrence of a first out-of-network-service event and an occurrence of a final out-of-network-service event, wherein the first and final out-of-network-service events are within a set including the predefined number of out-of-network-service events;

means for calculating a second duration corresponding to a total amount of time the tracking device experienced the predefined number of out-of-network-service events during the first duration;

means for calculating a percentage value corresponding to a time the tracking device experienced out-of-network-service events based on the first duration and the second duration; and

means for calculating a third duration corresponding to the tracking device experiencing an ongoing out-of-network-service event.

15. The tracking device of claim 13, wherein means for generating statistics characterizing out-of-network-service conditions experienced during the period of time comprises:

means for determining whether a first duration has elapsed;

means for calculating a second duration corresponding to a total amount of time the tracking device experienced out-of-network-service events occurring during the first duration;

means for calculating a first percentage value corresponding to a time the tracking device experienced out-of-network-service events based on the first duration and the second duration; and

means for calculating a third duration corresponding to the tracking device experiencing an ongoing out-of-network-service event.

16. The tracking device of claim 15, further comprising:

means for determining whether a predefined number of out-of-network-service events have occurred before the first duration has elapsed;

means for measuring a fourth duration corresponding to an occurrence of a first out-of-network-service event and an occurrence of a final out-of-network-service event in response to determining that the predefined number of out-of-network-service events have occurred before the first duration has elapsed, wherein the first and final out-of-network-service events are within a set including the predefined number of out-of-network-service events;

means for calculating a fifth duration corresponding to a total amount of time the tracking device experienced the predefined number of out-of-network-service events during the fourth duration; and

means for calculating a second percentage value corresponding to the time the tracking device experienced out-of-network-service events based on the fourth duration and the fifth duration.

17. The tracking device of claim 13, wherein means for operating in the power optimization mode by operating the tracking device in the power save state and the idle state for the number of cycles when the generated statistics characterizing out-of-network-service conditions experienced during the period of time indicate that the predefined out-of-network-service condition exists comprises:

means for calculating a first duration corresponding to the power save state and the number of cycles based on estimated information;

means for configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state; and

means for evaluating exit conditions during a second duration corresponding to the idle state.

18. The tracking device of claim 17, wherein means for calculating the first duration corresponding to the power save state and the number of cycles based on estimated information comprises:

means for estimating WAN power consumption information;

means for estimating GPS power consumption information;

means for estimating reachability cost information; and

means for calculating the first duration corresponding to the power save state and the number of cycles based on at least one of the estimated WAN power consumption information, the estimated GPS power consumption information, and the estimated reachability cost information.

19. The tracking device of claim 18, wherein means for estimating WAN power consumption information comprises:

means for estimating information corresponding to at least one of a call manager off event, establishing a network connection, the tracking device operating in a current power optimization mode, a WAN search, a WAN idle; and

means for estimating WAN power consumption information based on the estimated information.

20. The tracking device of claim 18, wherein means for estimating GPS power consumption information comprises:

means for estimating information corresponding to at least one of GPS environment conditions, current GPS power consumption information based on modem data, GPS fix accuracy information, and time uncertainty information; and

means for estimating GPS power consumption information based on the estimated information.

21. The tracking device of claim 18, wherein means for estimating reachability cost information comprises:

means for identifying set reachability weights;

means for estimating available battery capacity;

means for estimating a geofence state, wherein the geofence state is an indicator of the tracking device being inside or outside a geofence area; and

means for estimating reachability cost information based on at least one of the identified set reachability weights, the estimated available battery capacity, and the estimated geofence state.

22. The tracking device of claim 17, further comprising:

means for determining whether the exit conditions are met during the second duration corresponding to the idle state comprising;

means for determining whether the tracking device has operated in the power save state and the idle state for the number of cycles;

means for determining whether a tracking device detach event is detected;

means for determining whether a breach event is detected;

means for determining whether another on-demand localization communication is received; and

means for determining whether battery service life is below a certain level; and

means for discontinuing operating in the power optimization mode when the exit conditions are met during the second duration corresponding to the idle state.

23. The tracking device of claim 17, wherein means for configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state comprises means for deactivating at least one of a modem, a temperature-controlled crystal oscillator, a demodulator, a modulator, a call manager, a long-range transceiver, RF radios, firmware, firmware updating routines.

24. The tracking device of claim 17, wherein means for configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state comprises means for discontinuing at least one of maintenance of a WAN state and polling of a subscriber identity module.

25. A tracking device, comprising:

a memory;

a wireless transceiver; and

a processor coupled to the memory and the wireless transceiver, wherein the processor is configured with processor-executable instructions to;

determine whether entry conditions for performing a power optimization algorithm are met by determining whether the tracking device has been activated for a predefined period of time, determining whether the tracking device has experienced an out-of-network-service condition for at least a predefined duration, determining whether the tracking device is engaged in an ongoing communication session, and determining whether the tracking device has received an on-demand localization communication within a predefined period;

generate statistics characterizing out-of-network-service conditions experienced during a period of time in response to determining the entry conditions are met;

determine whether the generated statistics characterizing out-of-network-service conditions experienced during the period of time indicate a predefined out-of-network-service condition by comparing the generated statistics to a predefined threshold value; and

operate in a power optimization mode by operating the tracking device in a power save state and an idle state for a number of cycles when the generated statistics characterizing out-of-network-service conditions experienced during the period of time indicate that the predefined out-of-network-service condition exists.

26. The tracking device of claim 25, wherein the processor is configured with processor-executable instructions to generate the statistics characterizing out-of-network-service conditions experienced during the period of time by:

determining whether a predefined number of out-of-network-service events have occurred;

measuring a first duration from an occurrence of a first out-of-network-service event and an occurrence of a final out-of-network-service event, wherein the first and final out-of-network-service events are within a set including the predefined number of out-of-network-service events;

calculating a second duration corresponding to a total amount of time the tracking device experienced the predefined number of out-of-network-service events during the first duration;

calculating a percentage value corresponding to a time the tracking device experienced out-of-network-service events based on the first duration and the second duration; and

calculating a third duration corresponding to the tracking device experiencing an ongoing out-of-network-service event.

27. The tracking device of claim 25, wherein the processor is configured with processor-executable instructions to generate the statistics characterizing out-of-network-service conditions experienced during the period of time by:

determining whether a first duration has elapsed;

calculating a second duration corresponding to a total amount of time the tracking device experienced out-of-network-service events occurring during the first duration;

calculating a first percentage value corresponding to a time the tracking device experienced out-of-network-service events based on the first duration and the second duration; and

calculating a third duration corresponding to the tracking device experiencing an ongoing out-of-network-service event.

28. The tracking device of claim 27, wherein the processor is further configured with processor-executable instructions to:

determine whether a predefined number of out-of-network-service events have occurred before the first duration has elapsed;

measure a fourth duration corresponding to an occurrence of a first out-of-network-service event and an occurrence of a final out-of-network-service event in response to determining that the predefined number of out-of-network-service events have occurred before the first duration has elapsed, wherein the first and final out-of-network-service events are within a set including the predefined number of out-of-network-service events;

calculate a fifth duration corresponding to a total amount of time the tracking device experienced the predefined number of out-of-network-service events during the fourth duration; and

calculate a second percentage value corresponding to the time the tracking device experienced out-of-network-service events based on the fourth duration and the fifth duration.

29. The tracking device of claim 25, wherein the processor is configured with processor-executable instructions to operate in the power optimization mode by operating the tracking device in the power save state and the idle state for the number of cycles when the generated statistics indicate that the predefined out-of-network-service condition exists by:

calculating a first duration corresponding to the power save state and the number of cycles based on estimated information;

configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state; and

evaluating exit conditions during a second duration corresponding to the idle state.

30. The tracking device of claim 29, wherein the processor is configured with processor-executable instructions to calculate the first duration corresponding to the power save state and the number of cycles based on estimated information by:

estimating WAN power consumption information;

estimating GPS power consumption information;

estimating reachability cost information; and

calculating the first duration corresponding to the power save state and the number of cycles based on at least one of the estimated WAN power consumption information, the estimated GPS power consumption information, and the estimated reachability cost information.

31. The tracking device of claim 30, wherein the processor is configured with processor-executable instructions to estimate WAN power consumption information by:

estimating information corresponding to at least one of a call manager off event, establishing a network connection, the tracking device operating in a current power optimization mode, a WAN search, a WAN idle; and

estimating WAN power consumption information based on the estimated information.

32. The tracking device of claim 30, wherein the processor is configured with processor-executable instructions to estimate GPS power consumption information by:

estimating information corresponding to at least one of GPS environment conditions, current GPS power consumption information based on modem data, GPS fix accuracy information, and time uncertainty information; and

estimating GPS power consumption information based on the estimated information.

33. The tracking device of claim 30, wherein the processor is configured with processor-executable instructions to estimate reachability cost information by:

identifying set reachability weights;

estimating available battery capacity;

estimating a geofence state, wherein the geofence state is an indicator of the tracking device being inside or outside a geofence area; and

estimating reachability cost information based on at least one of the identified set reachability weights, the estimated available battery capacity, and the estimated geofence state.

34. The tracking device of claim 29, wherein the processor is further configured with processor-executable instructions to:

determine whether the exit conditions are met during the second duration corresponding to the idle state by;

determining whether the tracking device has operated in the power save state and the idle state for the number of cycles;

determining whether a tracking device detach event is detected;

determining whether a breach event is detected;

determining whether another on-demand localization communication is received; and

determining whether battery service life is below a certain level; and

discontinuing operating in the power optimization mode when the tracking device determines that the exit conditions are met during the second duration corresponding to the idle state.

35. The tracking device of claim 29, wherein the processor is configured with processor-executable instructions to configure components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state by deactivating at least one of a modem, a temperature-controlled crystal oscillator, a demodulator, a modulator, a call manager, a long-range transceiver, RF radios, firmware, firmware updating routines.

36. The tracking device of claim 29, wherein the processor is configured with processor-executable instructions to configure components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state by discontinuing at least one of maintenance of a WAN state and polling of a subscriber identity module.

37. A non-transitory processor-readable storage medium having stored thereon processor-executable software instructions configured to cause a tracking device processor in a tracking device to perform operations comprising:

determining whether entry conditions for performing a power optimization algorithm are met by determining whether the tracking device has been activated for a predefined period of time, determining whether the tracking device has experienced an out-of-network-service condition for at least a predefined duration, determining whether the tracking device is engaged in an ongoing communication session, and determining whether the tracking device has received an on-demand localization communication within a predefined period;

generating statistics characterizing out-of-network-service conditions experienced during a period of time in response to determining the entry conditions are met;

determining whether the generated statistics indicate a predefined out-of-network-service condition by comparing the generated statistics to a predefined threshold value; and

operating in a power optimization mode by operating in a power save state and an idle state for a number of cycles when the generated statistics indicate that the predefined out-of-network-service condition exists.

38. The non-transitory processor-readable storage medium of claim 37, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations such that generating statistics characterizing out-of-network-service conditions experienced during the period of time comprises:

determining whether a predefined number of out-of-network-service events have occurred;

measuring a first duration from an occurrence of a first out-of-network-service event and an occurrence of a final out-of-network-service event, wherein the first and final out-of-network-service events are within a set including the predefined number of out-of-network-service events;

calculating a second duration corresponding to a total amount of time the tracking device experienced the predefined number of out-of-network-service events during the first duration;

calculating a percentage value corresponding to a time the tracking device experienced out-of-network-service events based on the first duration and the second duration; and

calculating a third duration corresponding to the tracking device experiencing an ongoing out-of-network-service event.

39. The non-transitory processor-readable storage medium of claim 37, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations such that generating statistics characterizing out-of-network-service conditions experienced during the period of time comprises:

determining whether a first duration has elapsed;

calculating a second duration corresponding to a total amount of time the tracking device experienced out-of-network-service events occurring during the first duration;

calculating a first percentage value corresponding to a time the tracking device experienced out-of-network-service events based on the first duration and the second duration; and

calculating a third duration corresponding to the tracking device experiencing an ongoing out-of-network-service event.

40. The non-transitory processor-readable storage medium of claim 39, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations further comprising:

determining whether a predefined number of out-of-network-service events have occurred before the first duration has elapsed;

measuring a fourth duration corresponding to an occurrence of a first out-of-network-service event and an occurrence of a final out-of-network-service event in response to determining that the predefined number of out-of-network-service events have occurred before the first duration has elapsed, wherein the first and final out-of-network-service events are within a set including the predefined number of out-of-network-service events;

calculating a fifth duration corresponding to a total amount of time the tracking device experienced the predefined number of out-of-network-service events during the fourth duration; and

calculating a second percentage value corresponding to the time the tracking device experienced out-of-network-service events based on the fourth duration and the fifth duration.

41. The non-transitory processor-readable storage medium of claim 37, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations such that operating in the power optimization mode by operating in the power save state and the idle state for the number of cycles when the generated statistics indicate that the predefined out-of-network-service condition exists comprises:

calculating a first duration corresponding to the power save state and the number of cycles based on estimated information;

configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state; and

evaluating exit conditions during a second duration corresponding to the idle state.

42. The non-transitory processor-readable storage medium of claim 41, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations such that calculating the first duration corresponding to the power save state and the number of cycles based on estimated information comprises:

estimating WAN power consumption information;

estimating GPS power consumption information;

estimating reachability cost information; and

calculating the first duration corresponding to the power save state and the number of cycles based on at least one of the estimated WAN power consumption information, the estimated GPS power consumption information, and the estimated reachability cost information.

43. The non-transitory processor-readable storage medium of claim 42, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations such that estimating WAN power consumption information comprises:

estimating information corresponding to at least one of a call manager off event, establishing a network connection, the tracking device operating in a current power optimization mode, a WAN search, a WAN idle; and

estimating WAN power consumption information based on the estimated information.

44. The non-transitory processor-readable storage medium of claim 42, wherein the stored processor-executable software instructions are configured to cause the processor to perform operations such that estimating GPS power consumption information comprises:

estimating information corresponding to at least one of GPS environment conditions, current GPS power consumption information based on modem data, GPS fix accuracy information, and time uncertainty information; and

estimating GPS power consumption information based on the estimated information.

45. The non-transitory processor-readable storage medium of claim 42, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations such that estimating reachability cost information comprises:

identifying set reachability weights;

estimating available battery capacity;

estimating a geofence state, wherein the geofence state is an indicator of the tracking device being inside or outside a geofence area; and

estimating reachability cost information based on at least one of the identified set reachability weights, the estimated available battery capacity, and the estimated geofence state.

46. The non-transitory processor-readable storage medium of claim 41, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations further comprising:

determining whether the exit conditions are met during the second duration corresponding to the idle state by;

determining whether the tracking device has operated in the power save state and the idle state for the number of cycles;

determining whether a tracking device detach event is detected;

determining whether a breach event is detected;

determining whether another on-demand localization communication is received; and

determining whether battery service life is below a certain level; and

discontinuing operating in the power optimization mode when the tracking device determines that the exit conditions are met during the second duration corresponding to the idle state.

47. The non-transitory processor-readable storage medium of claim 41, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations such that configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state comprises deactivating at least one of a modem, a temperature-controlled crystal oscillator, a demodulator, a modulator, a call manager, a long-range transceiver, RF radios, firmware, firmware updating routines.

48. The non-transitory processor-readable storage medium of claim 41, wherein the stored processor-executable software instructions are configured to cause a tracking device processor to perform operations such that configuring components within the tracking device to operate with reduced power consumption for the first duration corresponding to the power save state comprises discontinuing at least one of maintenance of a WAN state and polling of a subscriber identity module.