Abstract—As one of the most promising technologies, Bluetooth low energy has been widely utilized for supporting various Internet of Things services and applications. To create connection between BLE devices, neighbor discovery process is an essential procedure. However, because of the effect of signal collision problem between BLE devices, the neighbor discovery performance is degraded seriously. In this paper, we consider clustering BLE devices, where the devices in same cluster own same parameter settings. We analyze the signal collision probability, and the discovery delay of these clustering devices during the discovery process by simulator. The simulation result shows the relationship between discovery performance and the rate of the number devices in each cluster.
Index Terms—Bluetooth low energy (BLE), neighbor discovery process, internet of things (IoT), heterogeneous network parameters.
Gaoyang Shan and Byeong-hee Roh are with the Dept. of Computer Engineering, Ajou University, Suwon, 16499, Korea (e-mail: shanyang166@ajou.ac.kr, bhroh@ajou.ac.kr).
Seung-hun Shin is with Dasan University College, Ajou University, Suwon 16499, Korea (e-mail: sihnsh@ajou.ac.kr).
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Cite:Gaoyang Shan, Seung-hun Shin, and Byeong-hee Roh, "Performance Analysis for Clusters of BLE Devices with Heterogeneous Parameters," Journal of Advances in Computer Networks vol. 6, no. 2, pp. 86-90, 2018.
