LIGHTING INFRASTRUCTURE AND REVENUE MODEL

1 . A computing device configured to implement a revenue model related to a lighting infrastructure, comprising:

a memory; and

a processor coupled to the memory, wherein the processor is configured with processor-executable instructions to perform operations comprising:

receiving a request from a first device to access data from a lighting infrastructure application framework, wherein the data from the lighting infrastructure application framework includes data from at least one lighting node platform device of a plurality of lighting node platform devices;

transmitting a response to the request from the first device based at least in part on the requested data from the lighting infrastructure application framework; and

calculating at least one of a fee and a revenue related to the transmitted response.

2 . The computing device of claim 1 , wherein the processor is configured with processor-executable instructions further comprising registering devices based on received registration information, wherein the registration information is transmitted by one of a device associated with an application provider and the first device.

3 . The computing device of claim 2 , wherein the registration information includes at least one of authentication credentials, access-control credentials, licensing information, advertisement authorization information, payment information, and a selection of at least one of a plurality of data types.

4 . The computing device of claim 4 , wherein the plurality of data types includes energy usage data, occupancy sensor data, light sensor data, environmental sensor data, security sensor data, audio data, visual data, gas detection sensor data, intrusion detector data, motion sensor data, vibration sensor data, vehicle detection sensor data, safety sensor data, biohazard sensor data, scanning sensor data, location sensor data, biometric sensor data, mechanical sensor data, signal detectors, and industry specific sensor data, correlated data, and aggregated data.

5 . The computing device of claim 2 , wherein the processor is configured with processor-executable instructions further comprising:

verifying an authorization for the first device to access the requested data from the lighting infrastructure application framework by determining whether the first device is authorized based on the received registration information; and

transmitting a request for registration information from the first device when the first device is determined to not be authorized, and

wherein the processor is configured with processor-executable instructions such that transmitting a response to the request from the first device based at least in part on the requested data from the lighting infrastructure application framework comprises transmitting the response to the request from the first device when the first device is determined to be authorized.

6 . The computing device of claim 1 , wherein the lighting infrastructure application framework includes at least one service platform computing device, at least one gateway platform device, and the plurality of lighting node platform devices, and

wherein the at least one gateway platform device is configured to exchange communications with the at least one service platform computing device, and

wherein the plurality of lighting node platform devices are configured to exchange communications with the at least one gateway platform device such that data associated with the plurality of lighting node platform devices is transmitted to the at least one service platform computing device via the at least one gateway platform device.

7 . The computing device of claim 1 , wherein the processor is configured with processor-executable instructions such that calculating at least one of a fee and a revenue related to the transmitted response comprises:

determining usage characteristics for the first device based on the request; and

calculating the fee based on the determined usage characteristics.

8 . The computing device of claim 7 , wherein the usage characteristics include at least one of a type of data, a frequency of data access, an amount of data, a data source location, a data demand, and a request time.

9 . The computing device of claim 1 , wherein the processor is configured with processor-executable instructions such that calculating at least one of a fee and a revenue related to the transmitted response comprises:

determining lighting node platform device usage by the lighting infrastructure application framework related to the transmitted response; and

calculating the revenue for a lighting infrastructure owner related to the determined lighting node platform device usage, wherein the lighting infrastructure owner is associated with the lighting infrastructure that includes the lighting node platform device.

10 . The computing device of claim 1 , wherein the at least one lighting node platform device comprises:

a power supply for receiving electrical power;

a light socket coupled to the power supply;

a node application controller comprising a data processor coupled to the power supply;

a network interface coupled to the processor, wherein the network interface is communicatively coupled to a service platform computer; and

a sensor coupled to the processor for detecting a condition at the at least one lighting node platform device, and in response providing information about the condition to the processor.

11 . The computing device of claim 10 , wherein the power supply for electrical power includes a power input terminal for receiving AC electrical power, and

wherein the lighting node platform device further comprises:

an AC/DC converter coupled to the power input terminal;

an LED driver coupled to the AC/DC converter; and

a power interface coupled to the LED driver to provide power from the AC/DC converter to a first sensor.

12 . The computing device of claim 1 , wherein the lighting infrastructure application framework includes a plurality of sensors such that each of the plurality of lighting node platform devices comprises at least one sensor of the plurality of sensors, and

wherein each sensor of the plurality of sensors provides sensor data to a service platform computer.

13 . The computing device of claim 12 , wherein the plurality of sensors comprises an energy use sensor, a light sensor, a motion detector, an occupancy sensor, an energy usage sensor, a light sensor, an environmental sensor, a security sensor, an audio sensor, a camera, a gas detection sensor, an intrusion detector, a vibration sensor, a people detection sensor, a vehicle detection sensor, a motion sensor, a safety sensor, a biohazard sensor, a scanning sensor, a location sensor, a biometric sensor, a mechanical sensor, a signal detector, and an industry specific sensor.

14 . The computing device of claim 1 , wherein the processor is configured with processor-executable instructions such that receiving, at the computing device, a request from a first device to access data from a lighting infrastructure application framework comprises receiving, at the computing device, the request transmitted by an application executing on the first device to access data from a lighting infrastructure application framework, wherein the first device is at least one of a third-party device and a service platform computer.

15 . A method for a computing device to implement a revenue model related to a lighting infrastructure, the method comprising:

receiving a request from a first device to access data from a lighting infrastructure application framework, wherein the data from the lighting infrastructure application framework includes data from at least one lighting node platform device of a plurality of lighting node platform devices;

transmitting a response to the request from the first device based at least in part on the requested data from the lighting infrastructure application framework; and

calculating at least one of a fee and a revenue related to the transmitted response.

16 . A non-transitory processor-readable storage medium having stored thereon processor-executable software instructions configured to cause a processor to perform operations for implementing a revenue model related to a lighting infrastructure, the operations comprising:

receiving a request from a first device to access data from a lighting infrastructure application framework, wherein the data from the lighting infrastructure application framework includes data from at least one lighting node platform device of a plurality of lighting node platform devices;

transmitting a response to the request from the first device based at least in part on the requested data from the lighting infrastructure application framework; and

calculating at least one of a fee and a revenue related to the transmitted response.