Goto

Collaborating Authors

 bluetooth low energy


ecoBLE: A Low-Computation Energy Consumption Prediction Framework for Bluetooth Low Energy

arXiv.org Artificial Intelligence

Bluetooth Low Energy (BLE) is a de-facto technology for Internet of Things (IoT) applications, promising very low energy consumption. However, this low energy consumption accounts only for the radio part, and it overlooks the energy consumption of other hardware and software components. Monitoring and predicting the energy consumption of IoT nodes after deployment can substantially aid in ensuring low energy consumption, calculating the remaining battery lifetime, predicting needed energy for energy-harvesting nodes, and detecting anomalies. In this paper, we introduce a Long Short-Term Memory Projection (LSTMP)-based BLE energy consumption prediction framework together with a dataset for a healthcare application scenario where BLE is widely adopted. Unlike radio-focused theoretical energy models, our framework provides a comprehensive energy consumption prediction, considering all components of the IoT node, including the radio, sensor as well as microcontroller unit (MCU). Our measurement-based results show that the proposed framework predicts the energy consumption of different BLE nodes with a Mean Absolute Percentage Error (MAPE) of up to 12%, giving comparable accuracy to state-of-the-art energy consumption prediction with a five times smaller prediction model size.


WWPI – Covering the best in IT since 1980 » Blog Archive » Mist debuts cloud-based wireless networking platform to offer mobile experiences

#artificialintelligence

Mist unveiled two services launched on the Mist cloud platform: Mist business-critical Wi-Fi; and Mist's patented Virtual Bluetooth Low Energy (vBLE). Currently available, Mist products are already in use by many medium-to-large organizations globally. Mist is an extensible, programmable microservices cloud architecture for the indoor wireless technologies of Wi-Fi and Bluetooth Low Energy (BLE). A Mist wireless network understands and adapts to each user, how they are moving, the devices they are carrying and the content they are consuming at a scale never before possible. Mist's cloud platform enables a new approach to wireless in nearly a decade, applying data science and machine learning to transform and assure mobile user experience. With businesses managing more connected devices, enterprise-level IoT implementations and location-based marketing initiatives, Mist delivers products that go beyond simple connectivity, empowering businesses to deliver better mobile experiences.