通信学报 ›› 2016, Vol. 37 ›› Issue (1): 49-60.doi: 10.11959/j.issn.1000-436x.2016007

• 学术论文 • 上一篇    下一篇

无线传感器网络中新的最小暴露路径问题及其求解算法

叶苗1,2,3,4,王宇平1,代才1,王晓丽1   

  1. 1 西安电子科技大学计算机学院,陕西 西安 710071
    2 桂林理工大学信息科学与工程学院,广西 桂林541004
    3 桂林电子科技大学广西云安全与云服务工程技术研究中心,广西 桂林 541104
    4 陕西师范大学计算机科学学院,陕西 西安 710062
  • 出版日期:2016-01-25 发布日期:2016-01-27
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;广西自然科学基金资助项目;广西自动检测技术与仪器重点实验室基金资助项目;广西自动检测技术与仪器重点实验室基金资助项目;广西教育厅基金资助项目

New minimum exposure path problem and its solving algorithm in wireless sensor networks

Miao YE1,2,3,4,ping WANGYu1,Cai DAI1,li WANGXiao1   

  1. 1 School of Computer Science and Technology, Xidian U iversity, Xi'an 710071, China
    2 College of Information Science and Engineering, Guilin University of Technology, Guilin 541004, China
    3 Guangxi Cloud Security and Cloud Services Engineering Technology Research Center, Guilin niversity of Electronic Technology, Guilin 541104, China
    4 College of Computer Science, Shaanxi Normal University, Xi'an 710062, China
  • Online:2016-01-25 Published:2016-01-27
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Guangxi;The Key Laboratory of Automatic Detecting Technology a Instru-ments of Guangxi;The Key Laboratory of Automatic Detecting Technology a Instru-ments of Guangxi;The General Programs of the Scientific Research Project of Guangxi Educational Committee

摘要:

无线传感器网络中原始的最小暴露路径问题没有考虑对路径的实际限制条件,提出一种要求经过某一特别保护区域部分边界的最小暴露路径问题。由于无法建立相应的图模型,原有求解最小暴露路径问题的经典方法(网格法和维诺图法)对提出的新问题不再起效。先将该问题转化成带约束条件的优化问题,然后针对转化后的数学模型高度非线性、高维度而不好用确定性优化方法的特点,结合问题实际背景设计出混合人工蜂群求解算法。通过在多种情况下的仿真实验发现,设计的带约束条件优化模型和混合人工蜂群求解算法能有效解决提出的最小暴露路径问题。

关键词: 无线传感器网络, 最小暴露路径, 保护区域, 混合人工蜂群算法

Abstract:

Due to the original minimum exposure path (MEP) problem in wireless sensor network without considering the constrained conditions for paths in practice, a new MEP problem with the request along a part of the boundary of the special protection area (BPA-MEP) was put forwand. As unable to set up the corresponding graph model, the classic methods (such as grid-based method and Voronoi-based method) in solving MEP problem would no longer work to BPA-MEP problem. To solve BPA-MEP problem, a optimization model with constraints as highly nonlinear and higher dimensional problem was tailored and established and then taking the characteristic of the distribution of the sensor nodes, a hybrid artificial bee algo-rithm was proposed to solve this complex optimization model. The results of the proposed model and the designed algorithm, when implemented in many aspects, show that they can s A-MEP problem effectively.

Key words: wireless sensor networks, minimum exposure path, protect area, hybrid artificial bee algorithm

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