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Underwater Acoustic Sensor Networks With Cost Efficiency for Internet of Underwater Things

机译:水下声学传感器网络具有成本效率的水下互联网

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摘要

Despite the potential benefits of Internet of Underwater Things, a number of issues hinder its realization, including the need for communication reliability and cost-effectiveness. This article aims to optimize network design to implement cost-effective underwater acoustic sensor networks (UASNs) with 3D topology while supporting diverse communication quality of service (QoS) requirements. First, we present an analytical framework based on a queueing system that evaluates communication performances of UASNs, wherein each underwater sensor distributed within a 3D space under the sea surface performs fountain code (FC)-based automatic repeat request (ARQ) transmissions under the slotted-Aloha medium access control protocol. Under the proposed framework, we evaluate communication performances given in terms of successful FC-based ARQ transmission probability and the average queueing delay of an underwater sensor. When evaluating the performances, we formulate the service time of each underwater sensor as a function of network parameters, i.e., the density of data sink and amount of redundancy for FC-based ARQ transmission, before solving a function for accurate service time, such that each sensor can be represented by an M/G/1 queue. Further, our analysis can formulate an optimization problem that aims at minimizing total cost incurred to install and operate 3D UASNs, without compromising two communication QoS requirements. To solve this problem, we propose a recursive algorithm to approach an optimal solution in reasonable time. Numerical evaluations demonstrate the validity of the proposed algorithm.
机译:尽管水下互联网的潜在好处,但许多问题阻碍了它的实现,包括需要沟通可靠性和成本效益。本文旨在优化网络设计,以实现具有3D拓扑的经济高效的水下声学传感器网络(UASNS),同时支持各种通信服务质量(QoS)要求。首先,我们提出了一种基于排队系统的分析框架,其评估UASN的通信性能,其中分布在海面下方的3D空间内的每个水下传感器在开槽下执行用于基于开槽的自动重复请求(ARQ)传输的喷泉代码(FC)的自动重复请求(ARQ)传输。 -aloha介质访问控制协议。在拟议的框架下,我们评估在成功的基于FC的ARQ传输概率和水下传感器的平均排队延迟方面给出的通信表演。在评估性能时,我们将每个水下传感器的服务时间作为网络参数的函数,即数据宿的密度和基于FC的ARQ传输的冗余量,在解决精确的服务时间之前,例如每个传感器可以由M / G / 1队列表示。此外,我们的分析可以制定优化问题,旨在最大限度地减少安装和操作3D UASN的总成本,而不会影响两个通信QoS要求。为了解决这个问题,我们提出了一种递归算法来在合理的时间内接近最佳解决方案。数值评估展示了所提出的算法的有效性。

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