Research On WSN-based Energy-saving Data Compression Method

Wireless sensor network(abbre.WSN) is widely used in military reconnaissance,environmental monitoring and many other important areas,but due to the limitation of network node energy and communication bandwidth,there is a challenge for the efficient transmission of data.By compressing the data that needs to be exchanged between nodes,the redundant data in the network can be reduced and the transmission efficiency of the data can be improved.However,data compressions,while to some extent,reduce the data traffic between the nodes in the network,but the node energy consumption is increasing,at the same time it also affected the data delivery.Mainly based on the aspects above,this paper analyzes the data compression method in the wireless sensor network environment,and achieves an energy-saving data compression algorithm and a data compression method with low latency under the premise of ensuring the data compression rate.The specific research contents are as follows:(1)According to the data characteristics of the wireless sensor network,an energy-saving data compression model is developed.Combined with the clustered routing protocol and taking the advantage of the similarity of the data continuity of a single node and multiple nodes,it greatly eliminates redundant information in the network.At the same time,combined with the characteristics of clustering routing protocol,cluster head node uses single hop to send data to sink node,which not only reduces the data exchange times between nodes in the network,but also reduces the data transmission delay and improves the efficiency of data transmission.(2)According to the energy characteristics of the wireless sensor network,an energy-saving data compression algorithm is developed.In this algorithm,the cluster head node collects the first data sent from other nodes in the cluster and calculates the average value,and then calculates the difference between the next data and the average value of each node in turn.If the difference exceeds the set threshold,the average value is updated.Finally,the coding method is used to encode the difference.The simulation results show that the proposed algorithm eliminates the redundant data in the network and effectively save energy in nodes in the network.(3)According to the characteristics of communication in wireless sensor networks,a low delay data compression algorithm is developed.The algorithm uses the improved hash table to store the Huffman code,and then finds the code corresponding to the data in the hash table,improves the query efficiency of the compression coding,saves the data storage space in the node,and reduces the running time of algorithm.The simulation results show that the algorithm can effectively reduce the transmission delay of data between nodes under the premise of guaranteeing the data compression rate.This dissertation studies the data compression algorithm in the wireless sensor network environment.Considering the complexity and uncertainty of the location of the wireless sensor network,many problems in the application of the data compression algorithm in the actual environmental monitoring need to be further investigated.