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Rescuing Algorithm for Link-List Wireless Network with Wormhole Mechanism

机译:用虫洞机制拯救链接列表无线网络的救援算法

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Due to the concept of smart city being gradually prevailed in recent years, the wireless routing algorithm for Low-Rate Wireless Personal Area Networks is an important research for data collecting network, which is used for managing and collecting sensing data in the city. Chiu and Chen proposed an adaptive link-list routing algorithm with wormhole mechanism. The algorithm is a low collision wireless protocol, which is suitable for data collection systems such as intelligent street lighting, smart meters and smart appliances. In the algorithm some unstable status may be occurred due to the environmental interference and the inappropriate design of the protocol. In this paper, we proposed a rescuing algorithm for link-list wireless network with wormhole mechanism to overcome some problems in the link-list network, such as the node losing problem, the path-optimized construction problem and the acknowledge packet confliction problem. We use the network simulation-3 to verify the efficacy of the rescuing algorithm. The results prove that the recuing algorithm can solve the routing problem of the link-list network and help the link-list network to transfer the data quickly. The results show that the link-list network with the rescuing algorithm can build a stable and rapid data collecting network system.
机译:由于近年来逐步普遍存在的智能城市的概念,低速率无线个人区域网络的无线路由算法是数据收集网络的重要研究,用于管理和收集城市的传感数据。 Chiu和Chen提出了一种具有蠕虫机制的自适应链路列表路由算法。该算法是一种低碰撞无线协议,适用于智能路灯,智能仪表和智能设备等数据收集系统。在算法中,由于环境干扰和协议的不适当的设计,可能发生一些不稳定状态。在本文中,我们提出了一种救援算法,其具有蠕虫机制的链接列表无线网络,以克服链路列表网络中的一些问题,例如节点丢失问题,路径优化的施工问题和确认分组冲突问题。我们使用网络仿真-3验证救援算法的功效。结果证明了核对算法可以解决链接列表网络的路由问题,并帮助链接列表网络快速传输数据。结果表明,具有救援算法的链接列表网络可以构建稳定且快速的数据收集网络系统。

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