研究如何在理想状态下使分布达到覆盖度最大化，同时采用虚拟势场方法使节点作扩散运动，以消除网络感知重叠区。
How to maximize the coverage in ideal state is studied. By using virtual potential field, nodes repel each other, which eliminates the sensing overlapping regions.
对模型环境提出了一种新的基于虚拟水流的机器人导航算法，它整合了虚拟水流法和势场法用于机器人在已知环境中导航，并对现实的未知环境导航具有指导意义。
One is global navigation based on model that the environment of the robot is certain and another is local navigation based on sensor that the environment of the robot is uncertain.
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