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。
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 a 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 algorithm 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 solve BPA-MEP problem effectively.