大型传感器网络的确定性边界识别与拓扑提取
Deterministic boundary recognition and topology extraction for large sensor networks
摘要：
我们提出了一个新的框架，一个大型传感器网络的自组织的关键挑战。基本场景可以描述如下：给定一个大型的固定传感器节点群，这些节点分散在一个多边形区域中，例如街道网络。节点不知道环境的大小或形状或其他节点的位置。此外，它们无法测量坐标、到其他节点的几何距离或它们的方向。它们与其他节点交互的唯一方式是从通信范围内的任何节点发送或接收消息。其目标是开发算法和协议，使自组织的群体成大规模的结构，反映了街道网络的结构，设置全球路由，跟踪和指导算法的阶段。
英文摘要：
We present a new framework for the crucial challenge of self-organization of a large sensor network. The basic scenario can be described as follows: Given a large swarm of immobile sensor nodes that have been scattered in a polygonal region, such as a street network. Nodes have no knowledge of size or shape of the environment or the position of other nodes. Moreover, they have no way of measuring coordinates, geometric distances to other nodes, or their direction. Their only way of interacting with other nodes is to send or to receive messages from any node that is within communication range. The objective is to develop algorithms and protocols that allow self-organization of the swarm into large-scale structures that reflect the structure of the street network, setting the stage for global routing, tracking and guiding algorithms.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
