Abstract
Bluetooth Low Energy (BLE) has become ubiquitous in the majority of mobile devices that connect wirelessly. With the increase in the number of devices, the probability of congestion also increases in a network. Data channels of the BLE use frequency hopping, but it is not available for advertising channels. The capability of the BLE for providing a wide range of parameters settings ensures the impressive potential for BLE devices to customize their discovery latency. But communication before connection setup is not synchronous and both the scanning devices and the advertising devices are unaware of the timing parameters of each other. This can lead to inefficient advertiser device discovery. To resolve this issue, an algorithm is proposed to reduce the average latency per advertiser experienced due to the increase in the number of BLE devices in a vicinity. It is observed that the average latency has shown improvement in the range of 35% to 55%, depending on different simulated scenarios. Due to this improvement the overall energy consumption is also reduced.
Highlights
As wireless communication technology is entering its 5th generation (5G) [1,2], there has been an increase in the number of Internet of Things (IoT) applications
In order to highlight the improvement made by the proposed algorithm, the simulation is compared with scenarios of standard Bluetooth Low Energy (BLE)
BLE has become one of the most promising technology to be used in IoT applications
Summary
As wireless communication technology is entering its 5th generation (5G) [1,2], there has been an increase in the number of Internet of Things (IoT) applications. A back-off strategy of BLE devices is proposed in [19], it reduces the collision probability and enhances the discovery latency performance during the NDP stage These studies usually only focus on the advertiser and have tried to reduce the power consumption and discovery time at the advertiser only. It is described in [25], that the optimal setting of the BLE devices to minimize the discovery time is essential for the development and smooth operations of BLE-enabled IoT infrastructure. The authors of [27] proposed a study on the power consumption model of BLE NDP process based on different advertising parameters of BLE.
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