A Lower Error Arithmetic of Data Fusion
Arithmetic of data fusion and high-level error correcting applicable to sensor network are presented. These arithmetic can be updated and are universally applicable, so they can be applied to any kind and any size sensor networks. The process of data fusion has a remarkable effect on decreasing the data flux, as a result it can realize the real-time and remote monitoring to the message under the condition of lower bandwidth. By using a probability matrix and the statistical result of error correcting, the high-level error correcting is achieved. The sensor network assesses the arithmetic that mentioned above by tracking of moving subject, and the experimental result shows that these alignments can effectively decrease the data flux and avoid the error