Artificial bees for improving resilience in a sensor middleware for situation awareness

Giuseppe D’aniello, Angelo Gaeta, F. Orciuoli
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引用次数: 2

Abstract

Resilience is the capability of a system to absorb and mitigate unexpected faults and risks. This paper describes a resilient middleware for sensor network management for supporting Situation Awareness in security scenarios. The proposed middleware implements an approach based on two main approaches: Quality of Service and Artificial Bee Colony for identifying disturbances, incompleteness and uncertainty in raw data coming from physical sensors and reacting to them. In particular, an algorithm based on Artificial Bee Colony has been defined to discover association rules used to handle the absence of significant observations in the monitored environment and continue working and supporting higher architectural layers.
提高态势感知传感器中间件弹性的人工蜜蜂
弹性是系统吸收和减轻意外故障和风险的能力。本文描述了一种用于传感器网络管理的弹性中间件,用于支持安全场景下的态势感知。提出的中间件实现了一种基于服务质量和人工蜂群两种主要方法的方法,用于识别来自物理传感器的原始数据中的干扰、不完整性和不确定性并对其做出反应。特别地,定义了一种基于人工蜂群的算法来发现关联规则,用于处理被监测环境中缺乏重要观测的情况,并继续工作和支持更高的体系结构层。
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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