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A data routing algorithm based on Markov model in underwater wireless sensor networks

机译:水下无线传感器网络中基于马尔可夫模型的数据路由算法

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The underwater wireless sensor networks (UWSNs) composed of sensor nodes is deployed underwater for submarine data collection, underwater monitoring, disaster warning, navigation assistance and so on. Since the underwater environment is usually unpredictable, and the nodes move or be damaged easily, so there are several vital objectives in UWSN routing such as the delivery success rate, the error rate and the energy consumption. To this end, we propose a data routing algorithm based on Markov model, which logically transforms the underwater three-dimensional (3.D) deployment model into a two-dimensional (2.D) model, and thus the nodes are considered to be hierarchically deployed. The data routing is achieved through bottom-top forwarding. In this forwarding mode, the delivery success rate can be improved and the energy consumption can be reduced due to the more stable routing, less forwarding counts and better adaptability to the dynamic load.
机译:由传感器节点组成的水下无线传感器网络(UWSN)部署在水下,用于海底数据收集,水下监控,灾难预警,导航辅助等。由于水下环境通常是不可预测的,并且节点容易移动或损坏,因此UWSN路由中有几个重要目标,例如交付成功率,错误率和能耗。为此,我们提出了一种基于马尔可夫模型的数据路由算法,该算法将水下三维(3.D)部署模型逻辑地转换为二维(2.D)模型,因此将节点视为分层部署。数据路由是通过自底向上转发实现的。在这种转发模式下,由于路由更稳定,转发次数更少以及对动态负载的适应性更好,因此可以提高交付成功率并降低能耗。

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