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生物启发的无线传感执行网络协同方法
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
作者姓名:王艳  纪志成
作者单位:江南大学,江南大学
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).
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.

关 键 词:无线传感执行网络   生物   群体   协同   能量
收稿时间:2013-04-12
修稿时间:2013-07-23

Bio-inspired collaborative method for wireless sensor and actor network
WANG Yan and JI Zhi-cheng. Bio-inspired collaborative method for wireless sensor and actor network[J]. Control Theory & Applications, 2014, 31(2): 188-194
Authors:WANG Yan and JI Zhi-cheng
Affiliation:Jiangnan University,Jiangnan University
Abstract:Motivated by the colony insect collaborative mechanism, we propose a collaborative method for wirelesssensor and actor network (WSAN) to improve the performance of transmission reliability, energy-saving and network executionefficiency. First, for the collaboration of the sensor-actuator, an efficient collaboration mechanism is presented tojudge 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 learningfactor 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 proposedmethod. The simulation results show that, it can optimize the transmission path in WSAN, as well as the actuators withgood collaborative performance can be preferentially selected to work in information processing and decision. The methodperforms well in energy-saving and effective execution for WSAN.
Keywords:wireless sensor and actor network   biology   colony   collaboration   energy
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