可变周期的基于贝叶斯估计的TPSN改进算法

Changeable Cycle for Improvement Based on the Bayes Estimation of the TPSN Algorithm

介绍了无线传感器网络的时间同步协议TPSN,针对TPSN算法在节点间交换消息时因传递延迟引起的误差以及同步时的能耗问题,引入贝叶斯估计法以及可变周期同步法进行改进,以达到减小误差并降低能耗的目的;运用N2仿真环境进行仿真,仿真结果表明,改进后的算法不但同步精度得到提高,而且耗能显著减小,更有利于延长无线传感器网络的寿命。

This paper introduced the synchronization protocol TPSN for wireless sensor networks,and by introducing the Bayes Estimation Method and the changeable cycle synchronization method to decrease the error caused by the time deviation during the nodes exchanging news and reduce the energy consumption during the synchronization process in TPSN algorithm;Using N2 simulation environment to simulate the algorithm, the results show that the improved algorithm not only improved the synchronous accuracy, but also reduced the energy consumption significantly, it is contribute to prolong the life of the wireless sensor networks.