设计了一种全局正向、局部反向的推理方式，并结合改进的与或树深度优先搜索策略建立了专家系统的推理机。
A overall-forward part-backward reasoning way is designed and an expert system reasoning machine is built with improved and-or tree deep priority searching strategy.
本文综合考虑骨干网的大小、节点能量及路径，提出了一种基于广度优先搜索的数据收集树算法，并采用局部式方法进行维护。
This paper proposes a breath-first search based data collection tree algorithm that taking in account size of backbone, energy of node and path. The data collection tree is maintained locally.
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