Abstract
Bluetooth Low Energy (BLE) is a short-range wireless communication technology aiming at low-cost and low-power communication. The performance evaluation of classical Bluetooth device discovery have been intensively studied using analytical modeling and simulative methods, but these techniques are not applicable to BLE, since BLE has a fundamental change in the design of the discovery mechanism, including the usage of three advertising channels. Recently, there several works have analyzed the topic of BLE device discovery, but these studies are still far from thorough. It is thus necessary to develop a new, accurate model for the BLE discovery process. In particular, the wide range settings of the parameters introduce lots of potential for BLE devices to customize their discovery performance. This motivates our study of modeling the BLE discovery process and performing intensive simulation. This paper is focused on building an analytical model to investigate the discovery probability, as well as the expected discovery latency, which are then validated via extensive experiments. Our analysis considers both continuous and discontinuous scanning modes. We analyze the sensitivity of these performance metrics to parameter settings to quantitatively examine to what extent parameters influence the performance metric of the discovery processes.
Highlights
Bluetooth Low Energy (BLE) is a new wireless communication technology for short-range communication with enhanced low-cost and low-power properties
The BLE technology recommended a wide range of parameter settings for the device discovery mechanism and its proper tuning to balance and optimize the performance for a wide range of applications in context of latency and energy consumption [3]. Keeping these challenges in mind, this paper focuses on the discovery process of BLE networks, and an analytical model is proposed to investigate the discovery probability, as well as expected discovery latency, which are validated via extensive simulation experiments
We investigate the performance of the BLE device discovery from the perspective of theoretical model in full accordance with the BLE specification to investigate performance metrics
Summary
Bluetooth Low Energy (BLE) is a new wireless communication technology for short-range communication with enhanced low-cost and low-power properties. The device discovery process is more simplified by designing a concise state-machine which helps in supporting the power saving functionality [3,5] These properties of BLE make it more favorable for short-range communication technologies. The BLE technology recommended a wide range of parameter settings for the device discovery mechanism and its proper tuning to balance and optimize the performance for a wide range of applications in context of latency and energy consumption [3] Keeping these challenges in mind, this paper focuses on the discovery process of BLE networks, and an analytical model is proposed to investigate the discovery probability, as well as expected discovery latency, which are validated via extensive simulation experiments.
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