Autonomous wireless multivariant sensor node—AWSN

1. A method comprising:

configuring a first levitation magnet at a first position;

positioning a suspension magnet underneath the levitation magnet at a second position, wherein the suspension magnet is configured underneath the first levitation magnet, and configured to oscillate continuously with a specific displacement in relation to acceleration levels and frequency of vibration, wherein magnetic flux is configured to cut across electrical coil windings positioned above or below the suspension magnet, wherein energy is generated as a result of the magnetic flux that cuts across the electrical coil windings for powering one or more modules; and

positioning a second levitation magnet underneath the suspension magnet and first levitation magnet, wherein the suspension magnet is configured to levitate between the first levitation magnet and the second levitation magnet.

2. The method of claim 1 , further comprising:

positioning one or more relief air vents to minimize friction from the suspension magnet while the suspension magnet is oscillating.

3. The method of claim 1 , further comprising:

configuring a vibration frequency tuning screw to adjust a desired power at various vibration frequencies.

4. A method comprising:

positioning a cold plate at a first position;

configuring heat to flow through a mounting metal bracket to a hot plate and then to the cold plate and a heat sink to enable a thermal gradient to be established, wherein a module transducer converts the established thermal gradient to electrical energy;

and

positioning at least one module at a second position to receive the generated electrical energy.

5. The method of claim 4 , further comprising:

positioning the hot plate directly underneath a thermo-electric generator.

6. The method of claim 4 , wherein the thermal gradient is a positive temperature gradient.

7. The method of claim 4 , wherein the generated electrical energy is coupled to an electronics circuit to harvest and power one or more sensors.

8. A method comprising:

configuring a piezo-electric beam in a direction of a roller beam support assembly;

positioning a first roller above the roller beam support assembly and a second roller below the roller beam support assembly, wherein the first roller and the second roller are moved toward the piezo-electric beam to increase a frequency of vibration and to optimize an energy generation; and

configuring a roller hinge with a rack and pinion gear arrangement to move the first roller and the second roller back and forth.

9. The method of claim 8 , wherein the rack and pinion gear arrangement move the first roller and the second roller back and forth to tune the piezo-electric beam for resonance frequency.

10. The method of claim 8 , further comprising:

rotating the rack and pinion gear arrangement clockwise to generate the energy.

11. The method of claim 8 , further comprising:

rotating the rack and pinion gear arrangement counter-clockwise to generate the energy.

12. The method of claim 1 , further comprising:

positioning one or more sub-modules to provide a forecasting function based on the received generated energy, wherein the forecasting function is based on energy state computation and power profile management, wherein the forecasting function includes loading sub-module's storage energy consumption behavior prediction and consumption behavior characterization; and

configuring one or more sensors that enable a subsystem activation decision and subsystem power requirement profile based on the forecasting function.

13. The method of claim 12 , further comprising:

activating a periodic type of task cost function computation.

14. The method of claim 12 , further comprising:

activating an episodic type of task cost function computation.

15. The method of claim 12 , further comprising:

loading subsystem electrical fault identification that correlates with an energy consumption profile.

16. The method of claim 4 , further comprising:

positioning one or more sub-modules to provide a forecasting function based on the received generated energy, wherein the forecasting function is based on energy state computation and power profile management, wherein the forecasting function includes loading sub-module's storage energy consumption behavior prediction and consumption behavior characterization; and

configuring one or more sensors that enable a subsystem activation decision and subsystem power requirement profile based on the forecasting function.

17. The method of claim 8 , further comprising:

positioning one or more sub-modules to provide a forecasting function based on the received generated energy, wherein the forecasting function is based on energy state computation and power profile management, wherein the forecasting function includes loading sub-module's storage energy consumption behavior prediction and consumption behavior characterization; and

configuring one or more sensors that enable a subsystem activation decision and subsystem power requirement profile based on the forecasting function.

18. The method of claim 17 , wherein the energy state computation and power profile management is determined based on the generated energy.

19. The method of claim 17 , wherein performance customization of the one or more sensors is adapted through energy requirements.

20. The method of claim 1 , wherein energy state computation and power file management is determined based on the generated energy.