引用本文:王艳,纪志成.生物启发的无线传感执行网络协同方法[J].控制理论与应用,2014,31(2):188~194.[点击复制]
WANG Yan,JI Zhi-cheng.Bio-inspired collaborative method for wireless sensor and actor network[J].Control Theory and Technology,2014,31(2):188~194.[点击复制]
生物启发的无线传感执行网络协同方法
Bio-inspired collaborative method for wireless sensor and actor network
摘要点击 2939  全文点击 1680  投稿时间:2013-04-12  修订日期:2013-07-23
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DOI编号  10.7641/CTA.2014.30334
  2014,31(2):188-194
中文关键词  无线传感执行网络  生物  群体  协同  能量
英文关键词  wireless sensor and actor network  biology  colony  collaboration  energy
基金项目  国家自然科学基金资助项目(61202473); 江苏省自然科学基金资助项目(BK2012551).
作者单位E-mail
王艳* 江南大学 电气自动化研究所 wangyan_sytu@126.com 
纪志成 江南大学 电气自动化研究所  
中文摘要
      本文针对无线传感执行网络(wireless sensor and actor network, WSAN), 在昆虫生物种群协作机理的启发 下, 提出了一种WSAN协同方法, 以改善网络传输可靠性、节能与执行效率. 首先, 针对传感器节点与执行器节点之 间的协作, 提出以信息传递能耗和剩余能量衡量中继节点选择概率的效能协同机制, 以及包含区域中继、影响因子 和学习因子3个保障单元的组织协同机制. 进而, 针对执行器--执行器间的协作, 引入学习因子作为组织协同机制中 的一个保障单元. 最后, 给出了算法执行的流程, 并通过仿真验证了方法的优越性. 仿真结果表明, 采用本文提出的 协同机制, 不但优化了WSAN信息传递路径, 而且在执行器节点间协作中选择优势节点参与信息处理和决策, 降低 了网络能耗, 同时提高了网络执行效率.
英文摘要
      Motivated by the colony insect collaborative mechanism, we propose a collaborative method for wireless sensor and actor network (WSAN) to improve the performance of transmission reliability, energy-saving and network execution efficiency. First, for the collaboration of the sensor-actuator, an efficient collaboration mechanism is presented to judge the selection probability of relay nodes from the transmission energy consumption and the residual energy. Meanwhile, an organic collaboration mechanism composed by three support units of regional relay, impact factor and learning factor is introduced. Then, leaning factor is used as a support unit in the organic coordination for the actuators collaboration. Finally, the execution flow is given and a numerical example is used to validate the advantages of the proposed method. The simulation results show that, it can optimize the transmission path in WSAN, as well as the actuators with good collaborative performance can be preferentially selected to work in information processing and decision. The method performs well in energy-saving and effective execution for WSAN.