A method for sensor event coverage and energy conservation includes receiving device sensor data for a plurality of sensors in a sensor network. The method further includes identifying one or more anomalies in the device sensor data that indicate one or more sensors from the plurality of sensors were acquiring data during an event for a specific point in time and identifying movement patterns for the plurality of sensors based on the one or more anomalies. The method further includes responsive to updating base engagement profiles for the plurality of sensors based on the one or more anomalies and the movement patterns, activating based on the updated base engagement profiled, a first sensor from the plurality of sensors.

A method for sensor event coverage and energy conservation includes receiving device sensor data for a plurality of sensors in a sensor network. The method further includes identifying one or more anomalies in the device sensor data that indicate one or more sensors from the plurality of sensors were acquiring data during an event for a specific point in time and identifying movement patterns for the plurality of sensors based on the one or more anomalies. The method further includes responsive to updating base engagement profiles for the plurality of sensors based on the one or more anomalies and the movement patterns, activating based on the updated base engagement profiled, a first sensor from the plurality of sensors.

A processor may identify that a computing device is below a power threshold. The processor may generate a charge request. The charge request may include metrics associated with a requested power exchange. The processor may send the charge request to a decentralized exchange. The decentralized exchange may include the computing device and at least two other devices. The processor may receive respective charging proposals from the at least two other devices. The processor may select one of the respective charging proposals.

A processor may identify that a computing device is below a power threshold. The processor may generate a charge request. The charge request may include metrics associated with a requested power exchange. The processor may send the charge request to a decentralized exchange. The decentralized exchange may include the computing device and at least two other devices. The processor may receive respective charging proposals from the at least two other devices. The processor may select one of the respective charging proposals.

An information exchange device according to an embodiment includes a user terminal to which first data including a user command is input, an IOT terminal for generating second data including information of a thing, and a cloud server provided with a first communication part for exchanging the first data with the user terminal, a second communication part for exchanging the second data with the IOT terminal, a command extraction part for extracting the user command from the first data, an information extraction part for extracting the information of the thing matching the user command from the second data, and an AI controller for calculating the user command and the information of the thing and generating third data that is a response to the first data, wherein the cloud server and the user terminal exchange the first data and the third data in a chat format with each other.

An information exchange device according to an embodiment includes a user terminal to which first data including a user command is input, an IOT terminal for generating second data including information of a thing, and a cloud server provided with a first communication part for exchanging the first data with the user terminal, a second communication part for exchanging the second data with the IOT terminal, a command extraction part for extracting the user command from the first data, an information extraction part for extracting the information of the thing matching the user command from the second data, and an AI controller for calculating the user command and the information of the thing and generating third data that is a response to the first data, wherein the cloud server and the user terminal exchange the first data and the third data in a chat format with each other.

A network edge device includes a local network interface, a remote network interface, a memory and a processor. The local network interface receives data from local data sources over a local network. The remote network interface communicates with a remote computer over a remote network. The processor receives a filter parameter set for each local data source from the remote computer. Each filter parameter set includes a data rate parameter and at least one of a minimum threshold parameter, a maximum threshold parameter or a change-of-value (COV) parameter. For each local data source, the processor compare each data value received from the local data source to at least one of the filter parameters, and sends the data value and subsequent data values to the remote computer at a data rate that is based on the data rate parameter.

A network edge device includes a local network interface, a remote network interface, a memory and a processor. The local network interface receives data from local data sources over a local network. The remote network interface communicates with a remote computer over a remote network. The processor receives a filter parameter set for each local data source from the remote computer. Each filter parameter set includes a data rate parameter and at least one of a minimum threshold parameter, a maximum threshold parameter or a change-of-value (COV) parameter. For each local data source, the processor compare each data value received from the local data source to at least one of the filter parameters, and sends the data value and subsequent data values to the remote computer at a data rate that is based on the data rate parameter.

Vehicle fuel volume estimation systems and methods are provided herein. An example method includes determining a fuel level percentage value for a vehicle, determining a vehicle identification number (VIN) of the vehicle, determining a fuel tank part number using the VIN, converting the fuel level percentage value into a fuel volume value based on the fuel tank part number, and transmitting a message to a recipient, the message that includes the fuel volume value.

Vehicle fuel volume estimation systems and methods are provided herein. An example method includes determining a fuel level percentage value for a vehicle, determining a vehicle identification number (VIN) of the vehicle, determining a fuel tank part number using the VIN, converting the fuel level percentage value into a fuel volume value based on the fuel tank part number, and transmitting a message to a recipient, the message that includes the fuel volume value.