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Energy efficient watchman based flooding algorithm for IoT‐enabled underwater wireless sensor and actor networks

机译:基于节能守望者的IOT水下无线传感器和演员网络的洪水算法

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In the task of data routing in Internet of Things enabled volatile underwater environments, providing better transmission and maximizing network communication performance are always challenging. Many network issues such as void holes and network isolation occur because of long routing distances between nodes. Void holes usually occur around the sink because nodes die early due to the high energy consumed to forward packets sent and received from other nodes. These void holes are a major challenge for I‐UWSANs and cause high end‐to‐end delay, data packet loss, and energy consumption. They also affect the data delivery ratio. Hence, this paper presents an energy efficient watchman based flooding algorithm to address void holes. First, the proposed technique is formally verified by the Z‐Eves toolbox to ensure its validity and correctness. Second, simulation is used to evaluate the energy consumption, packet loss, packet delivery ratio, and throughput of the network. The results are compared with well‐known algorithms like energy‐aware scalable reliable and void‐hole mitigation routing and angle based flooding. The extensive results show that the proposed algorithm performs better than the benchmark techniques.
机译:在启用挥发性水下环境中的数据路由的任务中,提供更好的传输和最大化网络通信性能总是具有挑战性的。由于节点之间的长路由距离,因此发生了许多网络问题,例如空隙孔和网络隔离。在水槽周围通常发生空隙孔,因为节点由于从其他节点发送和接收的转发分组的高能量而提前死亡。这些空隙漏洞是I-UWSAN的主要挑战,并导致高端到最终延迟,数据丢包和能耗。它们也影响数据传递比率。因此,本文介绍了一种基于节能的避力漏洞算法来解决空隙孔。首先,通过z-eves工具箱正式验证所提出的技术,以确保其有效性和正确性。其次,仿真用于评估能量消耗,丢包,分组传递比率和网络吞吐量。将结果与众所周知的算法进行比较,如能量感测可扩展可​​靠和空隙孔缓解路由和基于角度的洪水。广泛的结果表明,所提出的算法比基准技术更好。

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