Research on Data Fusion Technology in WSN

Abstract

Wireless Sensor Networks is a novel technology of information acquisition and processing. It integrates the technologies of sensor, wireless communication, and microelectronics. It can sense and collect environmental parameters in the range of the network, and then process the parameters cooperatively in real time. We discuss the design principle and performance evaluation method of the data fusion algorithm for wireless sensor networks in detail. We introduce the concept of fusion cost, and emphasize that the data fusion algorithm in wireless sensor networks must be combined with specific application background. Finally, we emphasize the proposed algorithm which combined reduced-rank filtering with adaptive weighted. The fact that it can effectively eliminate the effect of abnormal noise on fusion performance is illustrated through examples. The results showed that this algorithm occupies obviously the advantage in the aspect of fault-tolerant ability.