An IoT Inspired Distributed Data Fusion Architecture for Coastal Surveillance Applications

J. F. B. Brancalion, S. Dias
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Abstract

In this paper, we address the distributed data fusion problem considering a real scenario with multiple sensor sites geographically scattered around a bay. The advance of IoT, with more and more objects being connected, delivering and sharing huge amount of data, represents a big challenge. A timely fusion, using data obtained from different sources, like IoT and others, to provide efficient, reliable and accurate information to the decision makers is a requirement of modern data fusion systems. The paper presents a conceptual approach for a distributed data fusion system, applied in a maritime environment, where the common operational picture is obtained through a tactical datalink network. The concept and implementation of the proposed system follows the paradigm of Network Centric Warfare, which is an information age theory of warfare.
基于物联网的海岸监测分布式数据融合架构
在本文中,我们解决了分布式数据融合问题,考虑到多个传感器站点地理上分散在海湾周围的真实场景。随着越来越多的对象被连接、传输和共享大量数据,物联网的进步代表了一个巨大的挑战。及时融合,利用从不同来源获得的数据,如物联网和其他来源,为决策者提供高效、可靠和准确的信息,是现代数据融合系统的要求。本文提出了一种应用于海洋环境的分布式数据融合系统的概念方法,其中通过战术数据链网络获得共同的作战图像。该系统的概念和实现遵循了信息时代战争理论——网络中心战的范式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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