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RF based underwater wireless sensor network architectures for tracking intruders in 3D space

机译:基于RF的水下无线传感器网络架构,用于跟踪3D空间中的入侵者

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Acoustic wave based underwater wireless sensor networks (UWSNs), generally deployed for underwater surveillance, face high challenges while meeting the demand for fast detection and tracking of many modern high-speed submerged intruders. The higher propagation speed of radio frequency (RF) wave keeps the RF based underwater networks into focus for supporting such fast detection requirements. In light of this, this paper proposes two three dimensional (3D) cluster-based UWSN architectures and scrutinizes them for identifying and tracking submerged moving intruders. The UWSN senses the presence of an intruder within the surveillance area and instantaneously transfers the data to an onshore base station (BS) for tracking the intruder. All the communication links from the intruder sensing nodes to the BS are RF based. The BS is also equipped with the essential mathematical tools for identifying and tracking an intruder. Extensive simulations are carried out for evaluating the performance of the deployed architectures in a seawater environment. Accuracy in tracking by the topologies is thoroughly examined in terms of error in estimated travelled distance as well as travelled direction. Influence of various system parameters on the performance is also reasonably analyzed.
机译:通常用于水下监视的基于声波的水下无线传感器网络(UWSN)面临着严峻的挑战,同时又要满足对许多现代高速水下入侵者的快速检测和跟踪的需求。射频(RF)波的较高传播速度使基于RF的水下网络成为支持此类快速检测要求的焦点。有鉴于此,本文提出了两种基于3D集群的3D UWSN架构,并对其进行了详细的研究,以识别和跟踪水下移动入侵者。 UWSN会在监视区域内检测到入侵者的存在,并立即将数据传输到陆上基站(BS)以跟踪入侵者。从入侵者感应节点到BS的所有通信链路都是基于RF的。 BS还配备了用于识别和跟踪入侵者的基本数学工具。进行了广泛的仿真,以评估在海水环境中已部署架构的性能。根据估计的行进距离和行进方向的误差,彻底检查了拓扑跟踪的准确性。还合理地分析了各种系统参数对性能的影响。

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