#Google wifi interference test Bluetooth

Their algorithm improves the communication performance through the best channel selection.

For instance, in, the authors introduced a data channel selection scheme with proactive hand-off in a cognitive radio network. To improve different frequency hopping algorithms, various theoretical approaches, algorithms and experiments are proposed in. Many researchers have investigated their coexistence and performance. To correctly implement the blocking and unblocking of channels, three challenges are identified:įrom a wider perspective, different wireless communication protocols use different frequency hopping algorithms. This results in many BLE systems, such as Zephyr RTOS and Raspberry Pi 3, not implementing any channel blocking strategies or only implementing basic channel blocking strategies which are not effective enough. Although the BLE specification provides AFH with the authority to block and unblock the data channels based on their interference conditions, the BLE specification does not provide details on how and when the AFH should do that. This further increases the possibility of a link layer transmission failure, which may lead to a lower energy efficiency, a higher transmission delay and increased latency. The AFH technique is less likely to be able to cope with the increasingly complex wireless environments. The purpose of this technique is to prevent interference while keeping the communication process going.

To avoid congestion between channels in the ISM band, BLE uses an adaptive frequency hopping (AFH) technique. Therefore, performance of wireless communication is dramatically impaired, including its energy efficiency, latency amd robustness. Inevitably, there is unpredictable interference between previously mentioned protocols and devices, leading to conflicts between them. Moreover, other electronic devices make use of this ISM band such as wireless phones. In this ISM band, there are diverse wireless communication protocols coexisting such as Bluetooth, Wi-Fi, ZigBee, etc. BLE works in the 2.4 GHz frequency band, which is known as the Industrial, Scientific and Medical (ISM) band.

#Google wifi interference test Bluetooth

īluetooth Low Energy (BLE) is a new wireless communication protocol introduced since Bluetooth 4.0. With wireless communication, more applications are possible for embedded devices, ranging from daily life, such as healthcare and infotainment, to industry. The integration of embedded systems and wireless communication forms the foundation for IoT systems. Wireless communication applied in Internet of Things (IoT) is reaching a significant diffusion level nowadays. This paper provides a set of solutions for BLE confronting interference in link layer. Meanwhile, the authority of scheduling the whole mechanism is given to the link layer and even the higher application layer. Results from these experiments (reliability over 97% and 99% under two different harsh environments) highlight the effects of both improvements on the BLE robustness. Particularly, the communication performance of the BLE link layer is assessed in terms of channel usage distribution, supervision timeout ratio (STR) and packet loss rate (PLR) under different interference environments. This paper also presents a wide range of experimental evaluations aiming at validating the improvements and providing insights on both these improvements. In this paper, two improvements at the data link layer for interference detection and channel selection are proposed to enhance the BLE connection robustness. Therefore, there is a broadly recognized need of methodologies capable of sensing and avoiding interference. However, radio interference from various sources may affect the performance of BLE devices, leading to channel congestion. Nowadays, robustness is considered a key requirement in wireless communication. Bluetooth Low Energy (BLE) is a popular wireless communication protocol heavily used in Internet of Things applications.