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Energy Efficient Topology Control Algorithm and Dynamic Management Scheme for Underwater IoT Applications

机译:水下物联网应用的节能拓扑控制算法和动态管理方案

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Exploration and mentoring oceans have been very demanding in the research in order to maintain successful underwater communications (UWC). Data transmission and practical applications have been considering of having energy efficient routing protocols, despite of the rapid energy consumption, high latency and non-line-of-sight (NLoS) of the nodes. Also, the environmental nature of the ocean may cause a disaster which may interrupt the data transmission. Thus, in this paper, we seek for distributing the underwater wireless sensor nodes (UWSN) into grids in an energy-efficient-approach and a sustainable system in case of disasters. We propose topology control algorithm which finds the optimal location of the UWSN based on the energy efficiency approach in the underwater network with energy harvesting abilities, given the depth required which is differ from application to another. Moreover, in case of disaster, Disaster Recover Reconfiguration Algorithm is proposed to enrich the network with the flexibility of routing in case of the disaster considering most energy-efficient path with the procedure of degrading the traffic of edges nodes to maintain connectivity of the network. The harvested power of five UWSN is measured from real data considering the exact location and depth of the nodes to test both algorithms.
机译:为了维持成功的水下通信(UWC),在研究中对海洋进行探索和指导一直非常需求。尽管节点的能量消耗迅速,延迟高且视线不佳(NLoS),但数据传输和实际应用一直在考虑采用节能路由协议。另外,海洋的环境性质可能会导致灾难,从而可能中断数据传输。因此,在本文中,我们寻求以一种节能的方式将水下无线传感器节点(UWSN)分布到网格中,并在发生灾难时采用可持续的系统。我们提出了一种拓扑控制算法,该算法基于具有能量收集能力的水下网络中的能效方法,根据给定的深度(不同应用程序所需要的深度)来找到UWSN的最佳位置。此外,在发生灾难的情况下,提出了一种灾难恢复重配置算法,以在考虑最节能路径的情况下通过降低边缘节点流量以维护网络的连通性的方法,使网络在路由情况下具有灵活的路由灵活性。考虑实际节点的位置和深度以测试这两种算法,从真实数据中测量了五个UWSN的采集功率。

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