水下无线传感器网络阈值优化DBR协议中信使节点的自适应移动性

M. Jafri, S. Ahmed, N. Javaid, Z. Ahmad, R. Qureshi
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引用次数: 81

摘要

在密集水下传感器网络(UWSN)中,主要面临的问题是误差概率高、传感器节点拓扑结构不断变化以及数据传输能耗大。然而,水下无线传感器网络在海底和油藏管理、深海情况勘探和水灾害预防等方面也有显著的应用。为了实现这些应用,忽视声通信的高延迟和低带宽等限制是不可行的。本文提出了阈值优化深度路由(AMCTD)中信使节点的自适应移动,探索深度阈值的熟练修正,并实现最优权函数以实现更长的网络生存期。我们将该方案分为权重更新、深度阈值变化和快递节点自适应移动三个主要阶段。在数据转发过程中,我们提供了修改阈值的框架,以应对网络的稀疏情况。我们最终进行了详细的模拟,以仔细检查我们提出的方案的性能,并将其与其他两个著名的路由协议在网络寿命和其他基本参数方面进行比较。仿真结果表明,该方案在UWSN领域的性能优于其他方法,接近最优。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AMCTD: Adaptive Mobility of Courier Nodes in Threshold-Optimized DBR Protocol for Underwater Wireless Sensor Networks
In dense underwater sensor networks (UWSN), the major confronts are high error probability, incessant variation in topology of sensor nodes, and much energy consumption for data transmission. However, there are some remarkable applications of UWSN such as management of seabed and oil reservoirs, exploration of deep sea situation and prevention of aqueous disasters. In order to accomplish these applications, ignorance of the limitations of acoustic communications such as high delay and low bandwidth is not feasible. In this paper, we propose Adaptive mobility of Courier nodes in Threshold-optimized Depth-based routing (AMCTD), exploring the proficient amendments in depth threshold and implementing the optimal weight function to achieve longer network lifetime. We segregate our scheme in 3 major phases of weight updating, depth threshold variation and adaptive mobility of courier nodes. During data forwarding, we provide the framework for alterations in threshold to cope with the sparse condition of network. We ultimately perform detailed simulations to scrutinize the performance of our proposed scheme and its comparison with other two notable routing protocols in term of network lifetime and other essential parameters. The simulations results verify that our scheme performs better than the other techniques and near to optimal in the field of UWSN.
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