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Striped-Flooding: Improve Scalability and Energy Efficiency of Flooding Algorithm in Wireless Sensor and Actor Networks

机译:条纹式洪泛:提高无线传感器和Actor网络中洪泛算法的可伸缩性和能效

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In wireless sensor and actor networks (WSAN), the sensor node that detects an event always uses flooding algorithm to discover the path to the mobile actor. Although the flooding algorithm has many advantages such as its simplicity and reliability, it performs poorly in energy efficiency and scalability, especially in a dense deployed network. In this paper, we propose to consider the flooding algorithm design as the coverage and connectivity problem: the data packet has to be broadcast by a set of connected nodes, while their transmission range has to cover the whole network to ensure that the mobile actor can receive the data packet. Based on this idea, we propose a new algorithm called Striped-Flooding based on the strip-based deployment pattern which has been proved to provide coverage and connectivity with minimum number of nodes. The Striped-Flooding uses the parameters of line spacing scaling factor and deviation to control the flooding process such that the deliver rate can be guaranteed. The analytical and numerical results prove that the Striped-Flooding algorithm has greatly improvement on the energy efficiency and scalability, especially in the dense deployed WSAN.
机译:在无线传感器和参与者网络(WSAN)中,检测事件的传感器节点始终使用洪泛算法来发现到达移动参与者的路径。尽管泛洪算法具有许多优点,例如其简单性和可靠性,但在能效和可伸缩性方面却表现不佳,尤其是在密集部署的网络中。在本文中,我们建议将泛洪算法设计视为覆盖和连通性问题:数据包必须由一组连接的节点广播,而其传输范围必须覆盖整个网络,以确保移动角色可以接收数据包。基于此思想,我们基于基于条带的部署模式提出了一种称为“条带洪水”的新算法,该算法已被证明能够以最少的节点数提供覆盖范围和连通性。 Striped-Flooding使用行距缩放因子和偏差的参数来控制洪泛过程,从而可以确保传输速率。分析和数值结果表明,Strand-Flooding算法在能源效率和可扩展性方面有很大的提高,特别是在密集部署的WSAN中。

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