Low-Delay Data Fusion Technology In Wireless Sensor Network

In recent years,wireless sensor networks have been widely used in many fields such as medical health,forest monitoring and target tracking.Data fusion is a key technology in wireless sensor network.It can reduce the traffic volume in the network to achieve the goal of reducing energy consumption and saving resources.However,most applications now have a higher requirement for the delay time of data transmission,the time interval between the source node and the receiving node of the root node.In order to reduce the data fusion delay of the wireless sensor network,reduce the information of nodes in the network to the base station time.Based on data fusion is proposed in this paper the wireless sensor network transmission delay optimization algorithms,this algorithm using distributed way to construct the network,and the active node into account when choosing the parent node,the distance between the node and the candidate nodes,transmission energy consumption,the candidate nodes and base station distance,the candidate nodes remaining energy of the four factors that affect the network life cycle.Finally through the simulation experiment to evaluate the performance of the algorithm,the results show that compared with the existing data fusion algorithm,the proposed algorithm to reduce the balance of energy consumption data collection delay,node has a good improvement,but also effectively prolong the network life cycle.