Abnormality, defined as any abnormal feature in the system, may occur in different areas such as healthcare, medicine, cyber security, industry, etc. The detection and localization of the abnormality have been studied widely in wireless sensor networks literature where the sensors use electromagnetic waves for communication. Due to their invasiveness, bio-incompatibility, and high energy consumption for some applications, molecular communication (MC) has been introduced as an alternative approach, which enables promising systems for abnormality detection and localization. In this paper, we overview the MC-based abnormality detection and localization schemes. To do this, we propose a general MC system for abnormality detection and localization to encompass the most related works. The general MC-based abnormality detection and localization system consists of multiple tiers for sensing the abnormality and communication between different agents in the system. We describe different abnormality recognition methods, which can be used by the sensors to obtain information about the abnormality. Further, we describe the functional units of the sensors and different sensor features. We explain different interfaces for connecting the internal and external communication networks and generally model the sensing and communication channels. We formulate the abnormality detection and localization problem using MC systems and present a general framework for the externally-controllable localization systems. We categorize the MC-based abnormality detection schemes based on the sensor mobility, cooperative detection, and cooperative sensing/activation. We classify the localization approaches based on the sensor mobility and propulsion mechanisms. Finally, we provide the ongoing challenges and future research directions to realize and develop MC-based systems for detection and localization of the abnormality.
翻译:超常性被定义为系统中任何异常特征,可能发生在医疗保健、医药、网络安全、工业等不同领域。无线传感器文献对异常的检测和本地化进行了广泛研究,传感器在其中使用电磁波进行通信。由于其侵扰性、生物不兼容性和某些应用的高能量消耗,分子通信(MC)被引入了一种替代方法,使异常检测和地方化的系统大有希望。在本文件中,我们概述了基于MC的异常检测和本地化计划。为此,我们提议建立超常性检测和地方化的一般MC系统,以涵盖最相关的工程。基于MC的异常性检测和本地化系统由多个层次组成,用于检测系统不同剂之间的异常性和通信。我们描述不同的异常性识别方法,传感器可以用来获取异常性检测和本地化信息。我们用基于传感器的功能单位和不同传感器特征来描述。我们为连接内部和外部通信网络,并全面模拟当前基于遥感和通信渠道的异常性检测和本地化系统,我们用常规的保密性检测和本地性检测和本地化系统,我们用基于常规性检测和移动性检测和移动系统,我们为当前检测和本地性检测和移动性系统提供最后的分类系统。