Nanotechnology is an emerging field devoted to providing new insight into a vast range of subjects interfacing sciences and engineering. As advances in nanotechnology emerge continuously, new areas of applications in nanoscale communication also emerge that involve biological systems. By definition, nanocommunication is the exchange of information at nanoscale level and constitutes the basis of any wireless interconnection of individual nanomachines comprising a nanonetwork. Such systems have unique properties that must be taken into account, when trying to delve into new communication paradigms based on micro-biological communication systems. In this context, development of bio-inspired nanonetworks is a fledgling yet fast growing area of scientific interest with a significant impact on future applications in multiple fields. A representative family of such systems includes bacterial nanonetworks, where specific key parameters of bacterial physiology can be utilized to model and develop appropriate information dissemination in nano level frameworks. Hence, the aim of this work is to conduct a systematic review of the approaches used to investigate bacterial nanonetworks with respect to (a) potential applications, (b) techniques and tools employed, and (c) parameters modeled. The results of this investigation project the salient features of parametrically-driven modeling approaches that could act as potential ground breakers in the future development of bacteria-inspired nanonetworks. In that sense, the title approaches in the surveyed literature project the usefulness of extracting valuable knowledge for deeper understanding of functional nanosystems. That, in turn, gives rise to new hypotheses on the development of future functionally selective bio-inspired nanoscale networks.

纳米技术是一个新兴领域，致力于为连接科学与工程的众多学科提供新的见解。随着纳米技术的不断涌现，涉及生物系统的纳米尺度通信也出现了新的应用领域。根据定义，纳米通信是纳米级别的信息交换，并且构成了组成纳米网络的各个纳米机器的任何无线互连的基础。当试图探究基于微生物通信系统的新通信范例时，此类系统具有必须考虑的独特属性。在这种情况下，受生物启发的纳米网络的发展是一个新兴但又迅速增长的科学领域，对未来在多个领域的应用产生重大影响。这种系统的代表性家族包括细菌纳米网络，其中细菌生理学的特定关键参数可用于在纳米级框架中建模和开发适当的信息传播。因此，这项工作的目的是就（a）潜在应用，（b）所采用的技术和工具以及（c）建模的参数，对用于研究细菌纳米网络的方法进行系统的综述。这项研究的结果表明，参数驱动的建模方法的显着特征可能会在细菌启发的纳米网络的未来发展中充当潜在的突破者。从这个意义上说，被调查文献中的标题方法预测了提取有价值的知识对更深入地了解功能纳米系统的有用性。反过来，