Design of Multi-Channel Information Fusion Method for Wireless Sensor Networks
In the Internet of Things composed of wireless sensor networks,the interference of parallel communication leads to poor multi-channel information fusion effect,high delay and high energy consumption of information transmission. Therefore,a multi-channel infor-mation fusion method for wireless sensor networks in the Internet of Things is proposed. The channel of sensor routing nodes in the In-ternet of Things is reasonably allocated through the tree topology structure to suppress the interference of parallel sensor communication. According to the information entropy theory,the distance difference between the information of each sensor channel is obtained. The dis-tance entropy of each information unit is obtained by using the Euclidean distance,and the normalized processing is carried out to calcu-late the attribute and fusion weight of each sensor information unit. The information of each part is fused according to the linear weigh-ting algorithm to complete multi-channel information fusion. The simulation results show that the multi-channel information fusion delay and information transmission energy consumption of the proposed method are always lower than 0.69 s and 59 J,which proves that the proposed method has a good effect in multi-channel information fusion of sensor networks,and can effectively reduce the sensor informa-tion fusion delay and sensor information transmission energy consumption.
wireless sensor networkmulti channel information fusioninternet of thingschannel allocationnetwork nodedistance entropy
万方数据
维普
