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一种基于自适应 OFDMA 的水下声无线传感器网络 MAC 协议。

An adaptive OFDMA-based MAC protocol for underwater acoustic wireless sensor networks.

机构信息

College of Information Technology, United Arab Emirates University, Al Ain 17555, United Arab Emirates.

出版信息

Sensors (Basel). 2012;12(7):8782-805. doi: 10.3390/s120708782. Epub 2012 Jun 27.

Abstract

Underwater acoustic wireless sensor networks (UAWSNs) have many applications across various civilian and military domains. However, they suffer from the limited available bandwidth of acoustic signals and harsh underwater conditions. In this work, we present an Orthogonal Frequency Division Multiple Access (OFDMA)-based Media Access Control (MAC) protocol that is configurable to suit the operating requirements of the underwater sensor network. The protocol has three modes of operation, namely random, equal opportunity and energy-conscious modes of operation. Our MAC design approach exploits the multi-path characteristics of a fading acoustic channel to convert it into parallel independent acoustic sub-channels that undergo flat fading. Communication between node pairs within the network is done using subsets of these sub-channels, depending on the configurations of the active mode of operation. Thus, the available limited bandwidth gets fully utilized while completely avoiding interference. We derive the mathematical model for optimal power loading and subcarrier selection, which is used as basis for all modes of operation of the protocol. We also conduct many simulation experiments to evaluate and compare our protocol with other Code Division Multiple Access (CDMA)-based MAC protocols.

摘要

水下声无线传感器网络 (UAWSNs) 在各种民用和军事领域都有广泛的应用。然而,它们受到声信号可用带宽有限和恶劣水下环境的限制。在这项工作中,我们提出了一种基于正交频分多址 (OFDMA) 的媒体访问控制 (MAC) 协议,该协议可根据水下传感器网络的运行要求进行配置。该协议有三种操作模式,即随机模式、均等机会模式和节能模式。我们的 MAC 设计方法利用衰落声信道的多径特性,将其转换为经历平坦衰落的并行独立声子信道。网络中节点对之间的通信是使用这些子信道的子集完成的,具体取决于活动操作模式的配置。因此,在完全避免干扰的同时,充分利用了有限的可用带宽。我们推导出了最优功率加载和子载波选择的数学模型,该模型是协议所有操作模式的基础。我们还进行了许多仿真实验,以评估和比较我们的协议与其他基于码分多址 (CDMA) 的 MAC 协议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8610/3444075/2b13a8879c73/sensors-12-08782f1.jpg

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