摘要
研究了一种适用于水下传感器网络的基于能量预测的分布式数据协作通信技术。针对水下复杂的监测环境、水下无线通信以及网络拓扑等动态特性,建立了一种基于H∞的节点能量预测算法,由能量和地理信息建立的二维表进行中继选择并建立了一种分布式数据协作传输技术。该技术根据水下传感器节点间无线链路的广播特性,根据H∞滤波器预测得到的节点剩余能量及其地理位置建立二维表,据此选择最优者作为协作节点,根据无线链路质量自适应选择放大重传和解码重传机制。数学分析表明,H∞滤波器对节点剩余能量的预测精度较高,而且该协作传输技术能够在有效地延长水下传感器网络生命周期的同时显著提高网络的资源利用率和系统吞吐率。
This paper researched a mobile distributed cooperative data transmission technology based on H∞ filter energy prediction algorithm for underwater acoustic sensor network.Aiming at the complex underwater monitoring environment,underwater wireless communication and the network topology and the dynamic characteristics,it put forward the H∞ for node energy prediction algorithm based on energy of two-dimensional table,relay selection and the establishment of a distributed data collaboration transmission technology.The technique,according to the underwater wireless sensor nodes in wireless link broadcast properties,the H∞ filter to predict the residual energy of nodes and its geographical location,established two-dimensional table.The technique selected the best as cooperative node,and adaptively chose amplifying retransmission and decoding retransmission mechanism according to the radio link quality.Mathematical analysis shows that,the H∞ filter on the residual energy of nodes has higher forecast accuracy,and the cooperative transmission technology can effectively extend the underwater sensor network life cycle and improve the utilization of network resources and system throughput.
出处
《计算机应用研究》
CSCD
北大核心
2012年第7期2597-2599,共3页
Application Research of Computers
关键词
水下传感器网络
H∞滤波器
协作分集
中继选择
underwater sensor networks
H∞ filter
cooperative diversity
relay node selection