Automation for BLE 5.2 TECHNOLOGY

Abstract

A class of wirelessly connected digital accessories is starting to develop as customer demand for consumer electronics continues to soar daily. In this situation, energy efficiency is seen as a fundamental requirement for a wireless device. To be well-suited for internet of things (IoT) applications, the communication system. In order to reduce power consumption, the protocol’s settings must be tailored to the application in question. In order to anticipate the energy consumption of a wireless device based on Bluetooth low energy (BLE), for example, for different parameter values, an energy model is needed. The BLE 5 method can be a very good solution in this situation. The Bluetooth 5 standards were recently released in order to provide notable advancements over the protocol’s earlier iterations. In order to provide stronger long-distance connections, but at a reduced data rate, Bluetooth 5 coded is a new special sort of connection that comes with trustworthy communication capabilities that vary in speed, range, and battery consumption. In compared to Bluetooth 4, Bluetooth 5 aims to increase speed by two times, range by four times, and advertising by eight times. The evaluation of the coded mode of the recently specified BLE 5 technology is discussed in this thesis. This study examines the energy efficiency of the BLE 5 (S = 8) coded mode solution both analytically and experimentally. It combines Matlab programming, analytical modelling, and practical measurement utilising Nordic Semiconductor’s nRF52840 development kit. The recently disclosed BLE 5 coded approach’s performance is contrasted with that of the BLE 4 coded technique, which is currently seen as being the most commonly employed in cases of commercial wireless devices. BLE 5 coded mode employs a forward error correction (FEC) mechanism to extend the communication range of this low-power approach for IoT applications. The packet length grows and the performance falls as a result of coding overhead. The 2.4 GHz frequency is taken into account in this thesis. Two more phases are added to packet transmissions and reception by the LE Coded PHY. In order for the receiver to repair bit mistakes when the packet is received and be able to reduce packet error rates, the FEC method is first applied to the packet (PER). Second, the packet is subjected to vii a pattern mapper technique. Better sensitivity is obtained as a result of the FEC and pattern mapping. The experimental findings from this thesis demonstrate that BLE 5 technique outperforms BLE 4 in terms of packet error rate (PER), communication range, and received signal strength indicator (RSSI). Additionally, BLE 5 technique uses less energy than BLE 4 technique, which was determined through analytical modeling.