In this paper, we present a novel Deep Neural Network-based indoor localization method
that estimates the position of a Bluetooth Low Energy (BLE) transmitter (tag) by using the …

In indoor environments, estimating localization using a received signal strength indicator
(RSSI) is difficult because of the noise from signals reflected and refracted by walls and …

Bluetooth Low Energy (BLE) is one of the key technologies empowering the Internet of
Things (IoT) for indoor positioning. In this regard, Angle of Arrival (AoA) localization is one of …

Bluetooth Low Energy (BLE) is widely considered for wireless Indoor Localization Systems
(ILS) in which BLE Received Signal Strength (RSS) is used to derive the location of the …

Indoor positioning is getting increased attention due to the availability of larger and more
sophisticated indoor environments. Wireless technologies like Bluetooth Low Energy (BLE) …

The location information of sensors and devices plays an important role in Internet of Things
(IoT). Low cost and energy efficient Bluetooth Low Energy (BLE)-based localization …

With the increasing demand for location-based services in indoor environments, research on
indoor localization technology has become an urgent need. In complex indoor …

Nowadays, there is a great interest in developing accurate wireless indoor localization
mechanisms enabling the implementation of many consumer-oriented services. Among the …

Bluetooth Low Energy (BLE) based Wireless Indoor Localization System (WILS) with high
localization accuracy and high localization precision is a key requirement in enabling the …

With expected widespread implementation of 5G networks and 5G Internet of Things (IoT),
indoor localization is expected to become of even further importance. Although Global …