Bluetooth Low Energy Definition | IoT ONE Digital Transformation Advisors

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	Bluetooth Low Energy (BLE)

Bluetooth Low Energy (BLE)

Formal	Ultra-low power version of the Bluetooth technology that is up to 15 times more efficient than Bluetooth. Compared to Classic Bluetooth, Bluetooth Low Energy (BLE) is intended to provide considerably reduced power consumption and cost while maintaining a similar communication range. Read More
Practical	Compared to Classic Bluetooth, Bluetooth Smart is intended to provide considerably reduced power consumption and cost while maintaining a similar communication range. The latest iteration of Bluetooth, also called Bluetooth 4.0. It offers lower power use for portable devices and new profiles including Bluetooth Mesh, a Bluetooth topology that allows devices to be connected together, sending/repeating commands from the hub to any connected device. Apple’s iBeacon is an example of a BLE application, and BLE as many potential uses for IoT devices. Read More
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Formal

Ultra-low power version of the Bluetooth technology that is up to 15 times more efficient than Bluetooth. Compared to Classic Bluetooth, Bluetooth Low Energy (BLE) is intended to provide considerably reduced power consumption and cost while maintaining a similar communication range.

Practical

Compared to Classic Bluetooth, Bluetooth Smart is intended to provide considerably reduced power consumption and cost while maintaining a similar communication range. The latest iteration of Bluetooth, also called Bluetooth 4.0. It offers lower power use for portable devices and new profiles including Bluetooth Mesh, a Bluetooth topology that allows devices to be connected together, sending/repeating commands from the hub to any connected device. Apple’s iBeacon is an example of a BLE application, and BLE as many potential uses for IoT devices.

Connectedthinks

ConnectedThinks is a IoT solution company. We are a technology company who build reference-designs for specifc verticles in Industrial IoT, Automotive and Transportation. A reference-design includes IoT-device hardware design, device-firmware, Cloud-SaaS device certified layer (such as Azure-IoT, AWS IoT Core, etc), cloud-hosted-APIs to access the device and lastly integrations to feed this data to a Data-warehouse or Data-Lake for Analytics and Machine Learning. With Key IoT technical challeges taken care of by our reference-design, you can focus on business logic integration (CRM, Billing, etc) and product/service-offering (App, subscription, etc) and significantly reduce the Go-To-Market time. Machine Learning being one of the key elements to help derive significant value from the IoT device data, we help you build machine-learning models to achieve specific business objectives.

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Bluetooth Low Energy (BLE)

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