摘要
针对无线传感器执行器网络(wireless sensor and actuator networks,WSAN)中的随机数据包丢失问题,提出了一种基于删除信道的WSAN控制器自适应动态配置算法。该算法采用模拟删除信道的多节点串联连接的网络控制架构,使用提出的配置算法对控制器进行自适应配置,并利用伯努利分布进行动态配置,通过导出马尔可夫链跳变线性系统模型,建立静止协方差的闭环表达形式。利用随机建模框架在衰落的无线电环境中进行仿真实验,结果表明,相比节点功能固定的配置算法,该算法可以更快地对设备输出做出响应,明显提升了控制器的性能,有效解决了WSAN中的随机数据包丢失问题。
For the issue of data-packet dropouts in wireless sensor and actuator networks,an adaptive placement algorithm of WSAN controller based on erasure channel is proposed. Multiple nodes in series connection of simulation erasure channel are used to propose flexible network control architecture. The proposed placement algorithm is used to adaptively place the controller,and use Bernoulli distribution to do dynamic placement. Still covariance closed loop form is established by exporting jump linear system model of Markov chain. Simulation experiment is done in declining radio environment by using stochastic modeling framework. Simulation results show that the proposed algorithm can respond faster to equipment output than the algorithm with fixed node function,which indicates the proposed algorithm has improved the performance of controller and it has settled the issue of data-packet dropouts.
出处
《重庆邮电大学学报(自然科学版)》
CSCD
北大核心
2015年第5期683-691,共9页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
四川省科技厅苗子工程资助项目(2014-054)
自贡市科技局资助项目(2014DZ08)
四川省重点实验室项目(NJ2013-11)
四川省高校重点实验室项目(2013WZY01)~~
关键词
无线传感器执行器网络
数据包丢失
模拟删除信道
自适应配置
马尔可夫链
wireless sensor and actuator network
data-packet dropout
simulation erasure channel
adaptive placement
Markov chain