论文标题
使用分子通信系统的异常检测和定位方案:调查
Abnormality Detection and Localization Schemes using Molecular Communication Systems: A Survey
论文作者
论文摘要
在无线传感器网络(WSN)文献中已广泛研究了异常检测和定位(ADL),其中传感器使用电磁波进行通信。在医疗保健等特定领域,已将分子通信(MC)作为ADL的替代方法,能够解决常规WSN的缺点,例如侵入性,生物兼容性和高能量消耗。在本文中,我们介绍了一个基于MC的ADL的一般框架,该框架由多个层组成,用于感知不同代理之间的异常和通信,包括传感器,融合中心(FC),网关(GW)(GW)和外部节点(例如,本地云),并在此框架中描述每个层和代理。我们对不同的异常识别方法,传感器的功能单元以及不同的传感器特征进行分类和解释。此外,我们描述了在FC和GW处转换内部和外部信号所需的不同类型的接口。此外,我们提出了一个统一的传感和通信链接模型。我们根据传感器的迁移率,合作检测和合作感应/激活对基于MC的异常检测方案进行分类。我们还根据传感器的移动性和推进机制对定位方法进行了分类,并为外部控制的定位系统提供了一个一般框架。最后,我们提出了一些挑战和未来的研究方向,以实现和开发基于MC的ADL系统。基于MC的系统的重要挑战在于四个主要方向,即实施,系统设计,建模和方法,从多学科的角度来看,需要大量关注。
Abnormality detection and localization (ADL) have been studied widely in wireless sensor networks (WSNs) literature, where the sensors use electromagnetic waves for communication. Molecular communication (MC) has been introduced as an alternative approach for ADL in particular areas such as healthcare, being able to tackle the shortcomings of conventional WSNs, such as invasiveness, bio-incompatibility, and high energy consumption. In this paper, we introduce a general framework for MC-based ADL, which consists of multiple tiers for sensing the abnormality and communication between different agents, including the sensors, the fusion center (FC), the gateway (GW), and the external node (e.g., a local cloud), and describe each tier and the agents in this framework. We classify and explain different abnormality recognition methods, the functional units of the sensors, and different sensor features. Further, we describe different types of interfaces required for converting the internal and external signals at the FC and GW. Moreover, we present a unified channel model for the sensing and communication links. We categorize the MC-based abnormality detection schemes based on the sensor mobility, cooperative detection, and cooperative sensing/activation. We also classify the localization approaches based on the sensor mobility and propulsion mechanisms and present a general framework for the externally-controllable localization systems. Finally, we present some challenges and future research directions to realize and develop MC-based systems for ADL. The important challenges in the MC-based systems lie in four main directions as implementation, system design, modeling, and methods, which need considerable attention from multidisciplinary perspectives.