LAUSR

Bluetooth Low Energy (BLE) networks have shown great promise as the Internet of Things (IoT) takes center stage. BLE devices featuring low-power are suitable for IoT applications. Meanwhile, the standard neighbor discovery protocol provides a wide range settings of parameters, which chould meet the variety of IoT applications. Whereas the different settings also have a great influence on neighbor discovery latency. This paper presents a theoretical model based on the Chinese Remainder Theorem (CRT) for analyzing the neighbor discovery latency in BLE networks, where the scanner and the advertiser are modeled in 3-distributed channels. The neighbor discovery latency in BLE is derived by applying the CRT to each specific channel. According to the simulations of the proposed model, we found some interesting results, which offers a better understanding of the relationship between parameters and latency performance. Meanwhile, the results provide a valuable clue to optimize the neighbor discovery latency.