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Optimizing Design and Performance of Underwater Acoustic Sensor Networks with 3D Topology

机译:优化3D拓扑水下声学传感器网络的设计和性能

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摘要

This study aims to optimize the design and performance of three-dimensional (3D) underwater acoustic sensor networks (UASNs). First, we develop an analytical model to quantify network performances in terms of the packet queueing delay and packet error probability for sensors in a 3D UASN. The model considers the retransmission delay due to packet transmission errors and packet collisions when calculating the packet queueing delay. The packet queueing delay depends on the choice of medium access control (MAC) protocol. We consider two different MAC protocols: slotted ALOHA and Request-to-Send and Clear-to-Send (RTS/CTS)-based MAC, which are the representative random access-based and handshake-based MAC protocols for UASNs, respectively. Based on the model, we further determine the smallest data sink density required to meet the desired packet error probability requirement for underwater sensor density, which can help network operators to design and build UASNs in a cost-effective way. To do this, we formulate a simple optimization problem that aims to minimize the data sink density while guaranteeing an upper bound for packet error probability. Using extensive numerical evaluations, network operation strategies are then presented to achieve the desired performance requirements in 3D UASNs.
机译:本研究旨在优化三维(3D)水下声学传感器网络(UASN)的设计和性能。首先,我们开发一个分析模型,以在3D UASN中的传感器的分组排队延迟和分组误差概率方面来量化网络性能。当计算分组排队延迟时,该模型认为由于分组传输错误和分组碰撞而导致的重传延迟。数据包排队延迟取决于媒体访问控制(MAC)协议的选择。我们考虑了两个不同的MAC协议:逐次的Aloha和Request-to-Send(RTS / CTS)基础的Mac,其是分别为UASN的代表随机访问和基于握手的MAC协议。基于该模型,我们进一步确定了满足水下传感器密度所需的分组误差概率要求所需的最小数据吸收密度,这可以帮助网络运营商以经济有效的方式设计和构建UASN。为此,我们制定了一个简单的优化问题,旨在最大限度地减少数据吸收密度,同时保证分组误差概率的上限。使用广泛的数值评估,然后呈现网络操作策略以实现3D UASN中所需的性能要求。

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