移动低占空比传感网中基于分段拟合压缩的数据容灾存储算法

数据存储是无线传感器网络中数据管理的基础操作.在移动低占空比传感网中，由于节点的移动性，每个节点需要频繁更新邻居节点集合，使得节点能量消耗过大；同时，节点大部分时间处于睡眠状态，仅在少部分时间内苏醒工作，造成数据备份的通信延迟过大.提出一种快速的低能耗数据保存机制.首先，源节点基于连续时间序列对感知数据进行分段线性拟合压缩；接着，节点根据预估故障概率和存储空间大小，计算出合理的压缩数据备份数量.在此基础上，设计一种动态自适应传输协议.实验仿真表明，与已有存储算法比较，该机制具有更低的传输能耗和通信延迟.

Disaster Recovery Data Storage Algorithm Based on Piecewise Fitting Compression in Mobile Low Duty-Cycle Wireless Sensor Networks

Data storage is a basic operation of data management in wireless sensor networks.In mobile low-duty-cycle sensor networks,due to the mobility of the nodes,each node needs to frequently update the set of its neighbor nodes,which making energy consumption of the node too large.At the same time,each node is sleeping in most of its time,and wakes up to work in only a small portion of time.This sleeping/working mode results in excessive communication delay for data backup.A fast data storage mechanism with low energy consumption is proposed.First,each source node performs piecewise linear fitting compression on its sensing data based on continuous time series.Then,the node calculates a reasonable number of compressed data backups based on an estimated failure probability and the size of its storage space.On this basis,a dynamic adaptive transmission protocol is designed.Experimental simulations show that this mechanism has lower energy consumption of transmission and lower communication delay compared with existing storage algorithms.