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Dynamic proxy tree-based data dissemination schemes for wireless sensor networks

机译:基于动态代理树的无线传感器网络数据分发方案

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In wireless sensor networks, efficiently disseminating data from a dynamic source to multiple mobile sinks is important for applications such as mobile target detection and tracking. A tree-based multicasting scheme can be used. However, due to the short communication range of each sensor node and the frequent movement of sources and sinks, a sink may fail to receive data due to broken paths, and the tree should frequently be reconfigured to reconnect sources and sinks. To address the problem, we propose a dynamic proxy tree-based framework. A big challenge in implementing the framework is how to reconfigure the proxy tree efficiently as sources and sinks change. We model the problem as on-line construction of a minimum Steiner tree in a Euclidean plane, and propose centralized schemes to solve it. Considering the strict energy constraints in wireless sensor networks, we further propose two distributed on-line schemes, a shortest path-based (SP) scheme and a spanning range-based (SR) scheme. Extensive simulations are conducted to evaluate the schemes. The results show that the distributed schemes have similar performance to the centralized ones, and among the distributed schemes, SR outperforms SP.
机译:在无线传感器网络中,有效地将数据从动态源分发到多个移动接收器对于诸如移动目标检测和跟踪的应用非常重要。可以使用基于树的多播方案。但是,由于每个传感器节点的通信距离短以及源和接收器的频繁移动,接收器可能由于路径断开而无法接收数据,因此应经常将树重新配置为重新连接源和接收器。为了解决这个问题,我们提出了一个基于动态代理树的框架。实施框架的一大挑战是如何随着源和汇的变化而有效地重新配置代理树。我们将问题建模为在欧几里得平面上最小Steiner树的在线构造,并提出集中化方案来解决它。考虑到无线传感器网络中严格的能量约束,我们进一步提出了两种分布式在线方案,即基于最短路径(SP)方案和基于跨范围(SR)方案。进行了广泛的仿真以评估方案。结果表明,分布式方案的性能与集中式方案相似,并且在分布式方案中,SR的性能优于SP。

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