张聚伟,王宇.一种有向传感器网络强栅栏覆盖算法[J].电子测量与仪器学报,2017,31(1):83-91
一种有向传感器网络强栅栏覆盖算法
Strong barrier coverage algorithm for directional sensor network
  
DOI:10.13382/j.jemi.2017.01.012
中文关键词:  有向传感器网络  栅栏覆盖  模糊  数据融合  粒子群优化
英文关键词:directional sensor networks  barrier coverage  fuzzy  data fusion  particle swarm optimization
基金项目:国家自然科学基金(61040010)、国家航空科学基金(20115142005)资助项目
作者单位
张聚伟 河南科技大学电气工程学院洛阳471023 
王宇 河南科技大学电气工程学院洛阳471023 
AuthorInstitution
Zhang Juwei Electrical Engineering College, Henan University of Science and Technology, Luoyang 471023, China 
Wang Yu Electrical Engineering College, Henan University of Science and Technology, Luoyang 471023, China 
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中文摘要:
      根据有向传感器节点感知特性,提出一种有向传感器节点模糊感知模型,以此为基础建立了模糊数据融合规则,减少网络中的不确定区域;就有向传感器网络强栅栏覆盖问题,提出一种基于粒子群的有向传感器网络强栅栏覆盖增强算法,将n维求解问题转化为一维求解,提高了算法收敛速度。仿真结果表明,对感知方向可连续调节的有向传感器网络节点,在随机部署情况下与现有算法对比,本算法对目标区域能有效的形成强栅栏覆盖,且具有较快的收敛速度,延长网络生存期。
英文摘要:
      A fuzzy perception model is proposed to the directional sensor nodes based on the sensing characteristics of the nodes, and also the fuzzy data fusion rule is built to reduce the network uncertain region. Aiming at the problem of directional sensor network strong barrier coverage, a directional sensor network strong barrier coverage enhancement algorithm based on particle swarm optimization is proposed. The convergence rate of the algorithm is improved through the n dimensional problem be transformed into one dimensional problem. The simulation results show that, under random deployment, the perception direction of sensor nodes can be adjusted continuously. Compared with the existing algorithms, the proposed algorithm can effectively form strong barrier coverage to the target area, has a faster convergence rate, and prolongs the network lifetime.
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