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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks
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Energy-Efficient Tree-Based Multipath Power Control for Underwater Sensor Networks

机译：水下传感器网络的节能树形多路径功率控制

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摘要

Due to the use of acoustic channels with limited available bandwidth, Underwater Sensor Networks (USNs) often suffer from significant performance restrictions such as low reliability, low energy-efficiency, and high end-to-end packet delay. The provisioning of reliable, energy-efficient, and low-delay communication in USNs has become a challenging research issue. In this paper, we take noise attenuation in deep water areas into account and propose a novel layered multipath power control (LMPC) scheme in order to reduce the energy consumption as well as enhance reliable and robust communication in USNs. To this end, we first formalize an optimization problem to manage transmission power and control data rate across the whole network. The objective is to minimize energy consumption and simultaneously guarantee the other performance metrics. After proving that this optimization problem is NP-complete, we solve the key problems of LMPC including establishment of the energy-efficient tree and management of energy distribution and further develop a heuristic algorithm to achieve the feasible solution of the optimization problem. Finally, the extensive simulation experiments are conducted to evaluate the network performance under different working conditions. The results reveal that the proposed LMPC scheme outperforms the existing mechanism significantly.
机译：由于使用的信道具有有限的可用带宽，因此水下传感器网络（USN）经常会受到严重的性能限制，例如可靠性低，能效低以及端到端数据包延迟高。在USN中提供可靠，节能和低延迟的通信已成为具有挑战性的研究问题。在本文中，我们考虑了深水区的噪声衰减，并提出了一种新颖的分层多径功率控制（LMPC）方案，以减少能耗并增强USN中可靠而稳定的通信。为此，我们首先将优化问题形式化，以管理整个网络的传输功率和控制数据速率。目的是最大程度地减少能耗并同时保证其他性能指标。在证明该优化问题是NP完全的之后，我们解决了LMPC的关键问题，包括建立节能树和能量分配管理，并进一步开发启发式算法以实现优化问题的可行解决方案。最后，进行了广泛的仿真实验，以评估在不同工作条件下的网络性能。结果表明，所提出的LMPC方案明显优于现有机制。

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