水下无线传感网的自适应时域压缩方法

Adaptive Data Compression in Time Domain for Underwater Wireless Sensor Network

水下节点采集的原始数据量庞大,存在信息冗余,通过网内信息处理,在保留应用所需信息量的前提下,将需要传输的数据量最小化,不仅能够有效应对水下传输能力弱的问题,提高数据传输速率和带宽利用率,更重要的是能够降低水下节点的通信能耗,延长节点乃至整个网络的使用寿命,提高有限能源的使用效率。因此,可提出一种适用于水下无线传感网的自适应时域压缩方法,通过数据预测和网络特征提取,为水下节点提供网内信息处理的最佳策略。实验表明,这种方法可保证水下各节点均能根据自身的实际情况以能耗接近最优的效果完成数据传送任务。

The amount of original data collected by underwater nodes is huge and information redundancy exists.By utilizing intra-network information processing,the amount of data which needs to be transmitted is minimized without loss of information.The reduction of communication data can not only effectively solve the problem of weak underwater transmission capacity,but also improve data transmission rate and bandwidth utilization.More importantly,it can reduce the communication energy consumption of underwater nodes,extend the service life of nodes and even the entire network and improve the efficiency of limited energy use.This article proposes an adaptive time-domain compression method suitable for underwater wireless sensor networks.The algorithm provides the best strategy of intra-network information processing for underwater nodes through data prediction and network feature extraction.The experimental results show that this method ensures that each node can complete the data transmission task with energy consumption close to the optimal according to its own actual situation.