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An Epidemic Model for Biological Data Fusion in Ad Hoc Sensor Networks

机译:Ad Hoc传感器网络中生物数据融合的流行模型

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Bio terrorism can be a very refined and a catastrophic approach of attacking a nation. This requires the development of a complete architecture dedicatedly designed for this purpose which includes but is not limited to Sensing/Detection, Tracking and Fusion, Communication, and others. In this paper we focus on one such architecture and evaluate its performance. Various sensors for this specific purpose have been studied. The accent has been on use of Distributed systems such as ad-hoc networks and on application of epidemic data fusion algorithms to better manage the bio threat data. The emphasis has been on understanding the performance characteristics of these algorithms under diversified real time scenarios which are implemented through extensive JAVA based simulations. Through comparative studies on communication and fusion the performance of channel filter algorithm for the purpose of biological sensor data fusion are validated.
机译:生物恐怖主义可以是攻击国家的一种非常精致和灾难性的方法。这需要开发专门为此目的设计的完整体系结构,包括但不限于传感/检测,跟踪和融合,通信等。在本文中,我们专注于一种这样的架构并评估其性能。已经研究了用于该特定目的的各种传感器。重点是使用诸如ad-hoc网络之类的分布式系统以及应用流行数据融合算法来更好地管理生物威胁数据。重点在于了解这些算法在各种实时场景下的性能特征,这些场景是通过广泛的基于JAVA的模拟实现的。通过对通信和融合的比较研究,验证了用于生物传感器数据融合的信道滤波算法的性能。

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