Research On Data Transmission In IoT Data Fusion

With the rapid development of the Internet of Things,data fusion has been widely used to process large amounts of data generated in the Internet of Things environment.Data fusion is a new technology for integrated processing of Io T multi-source information.It can extract,process,analyze and synthesize multi-sensor time-space redundancy from multi-source information from a target using information collected by multiple sensors.And complementary information to generate more accurate and complete estimates and decisions than a single source.Data fusion in the Io T environment requires the collection and processing of a variety of data with mixed time characteristics,including real-time and non-real-time data.Most of the current research on data fusion is about data processing.However,the data required for data fusion can be successfully transmitted to the fusion center as a prerequisite for ensuring high performance of data fusion.On the other hand,the research on data transmission in the Internet of Things is mainly concentrated on the network,but does not fully consider the special requirements of the upper application that consumes the transmitted data,such as the data fusion process.According to the current problems in the data transmission of the Internet of Things,the research content of this paper includes the following points:(1)This paper proposes a dynamic priority allocation scheme,which has different transmission requirements for different data for data fusion.The scheme fully considers the time urgency of the data packet and the value of the data packet,so that it contains more Value data and time-critical packets get higher scheduling priority for better transmission opportunities.(2)This paper proposes a distributed scheduling algorithm based on dynamic priority allocation,which can improve the throughput of data transmission and reduce the delay.A lot of experiments have shown that the algorithm achieves good throughput and delay performance under both low traffic and high traffic.(3)This paper proposes a data semantic-based error control algorithm combined with a scheduling algorithm,which measures the type and value of the data packet to select the error control mode and selectively correct the error.A large number of experiments have shown that the proposed algorithm effectively improves the reliability of data transmission.