Design And Verification Of BLE Beacon Low-conflict Algorithm For Dense IoT Applications

The Internet of Things realizes a wide range of connections between things and things,and things and people,and a large number of Internet of Things devices appear in our lives.Bluetooth Low Energy(BLE)is an important technology to solve the communication within the Internet of Things.The simultaneous advertising of massive BLE devices will affect the information exchange between the devices.In order to solve the above problems,it is urgent to study an algorithm that can effectively reduce advertise conflicts.A new low-conflict advertise algorithm is designed,which increases the possibility of advertise channel occurrences by randomizing the appearance time of advertise channels in advertise events,so as to prevent different advertise equipment from working on the same advertise channel at the same time.Thereby reducing the probability of advertise conflicts.The mathematical model of the algorithm is established,and the theoretical advertise collision probability is obtained.This thesis establishes a advertise simulation environment for application scenarios,simulates different advertise intervals and the number of devices in the simulation environment,and evaluates the performance of the algorithm proposed in this thesis.After verifying the effectiveness of the algorithm,this thesis designs a Beacon that is compatible with the BLE standard protocol and supports the algorithm in this thesis.A test platform to test the random channel conditions and performance of the Beacon is built,and derives the complete discovery of energy consumption.Through mathematical analysis and simulation verification,the completely random advertise algorithm proposed in this thesis has a significant effect on reducing the probability of advertise conflicts.The results with the BLE standard protocol and the adaptive selection algorithm of advertise interval are compared.For 200 advertising devices,when the advertising interval is 1s,the collision probability of the algorithm in this thesis is 11.3%,which is 19.3% lower than the existing research.The Beacon that supports the algorithm in this thesis can be heard by the BLE standard device Sniffer.The above results show that the algorithm in this thesis is effective in reducing the probability of advertise collisions and has good compatibility with BLE standard equipment.