一种应用于煤矿井下线型WSN的时间同步算法

基金项目:

国家自然科学基金资助项目（60972059）

详细信息

A time synchronization algorithm for underground linear WS

School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China

摘要: 针对煤矿井下线型网络结构的特殊性及传统TPSN算法存在线型网络末端节点同步误差比较大的问题，提出了基于分簇结构的线型WSN时间同步算法。该算法以传统分簇算法为基础，运用时钟漂移补偿、异常数据过滤技术，降低了网络的时间同步误差，同时平衡了整个网络的能量损耗。仿真结果证明了该算法的正确性。
- 煤矿 /
- 无线传感器网络 /
- 线型网络 /
- 分簇结构 /
- 时间同步 /
- 时钟漂移补偿 /
- 异常数据过滤 /
- WS
Abstract: In view of characteristics of linear network structure used in coal mine underground and problem of bigger synchronization error of terminal node of linear network existed in traditional TPSN algorithm, a time synchronization algorithm of linear WSN based on clustering structure was put forward. The algorithm is based on traditional clustering algorithm, and uses clock drift compensation and abnormal data filtering technology to reduce network time synchronization error and balance energy loss of the entire network. The simulation result proves that the algorithm is correct.
- coal mine /
- wireless sensor network /
- linear network /
- clustering structure /
- time synchronization /
- clock drift compensation /
- abnormal data filtering /
- WS