Bacterial Communications and Computing in Internet of Everything (IoE)

IF 34.4 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Communications Surveys and Tutorials Pub Date : 2024-08-28 DOI:10.1109/COMST.2024.3451302

B. Yagmur Koca;Ozgur B. Akan

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引用次数: 0

Abstract

Advancements in molecular communication (MC) have underscored the importance of bacterial communication, given their frequent use in MC models. Understanding bacterial communication, signaling, and engineering techniques is essential to address their inherent biological variability and enhance these models. Additionally, bacterial computing offers promising applications in environmental monitoring and biological computing networks, significantly boosting adaptability and responsiveness. This paper reviews bacterial communication and computing, linking them to the Internet of Everything (IoE). It explores how bacterial interactions at small scales contribute to universal interconnectedness, thereby strengthening cross-field communication. The review identifies bacterial mechanisms that have the potential to revolutionize traditional communication systems by highlighting their adaptability and response capabilities. Furthermore, the paper introduces the concept of integrated sensing, communication, and computing (ISCC) using bacteria, proposing innovative strategies to improve communication rate, reliability, and system performance. These insights suggest novel research avenues, aiming to advance the understanding and application of bacterial sensing, communication, and computing in MC models. By integrating these capabilities, the paper aims to pave the way for future advancements in both theoretical and practical aspects of MC, contributing to the broader field of interconnected technologies.

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万物互联 (IoE) 中的细菌通信与计算

分子通讯（MC）的进展强调了细菌通讯的重要性，因为它们经常在MC模型中使用。了解细菌通讯、信号和工程技术对于解决其固有的生物学变异性和增强这些模型至关重要。此外，细菌计算在环境监测和生物计算网络中提供了有前途的应用，显著提高了适应性和响应性。本文综述了细菌的通信和计算，并将它们与万物互联（IoE）联系起来。它探讨了细菌在小尺度上的相互作用如何促进普遍的相互联系，从而加强跨领域的交流。这篇综述通过强调细菌的适应性和反应能力，确定了有可能彻底改变传统通信系统的细菌机制。此外，本文还介绍了利用细菌实现传感、通信和计算集成（ISCC）的概念，并提出了提高通信速率、可靠性和系统性能的创新策略。这些见解提出了新的研究途径，旨在促进对MC模型中细菌传感、通信和计算的理解和应用。通过整合这些功能，本文旨在为MC的理论和实践方面的未来进步铺平道路，为更广泛的互联技术领域做出贡献。

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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来源期刊

IEEE Communications Surveys and Tutorials COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

80.20

自引率

2.50%

发文量

审稿时长

6 months

期刊介绍： IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues. A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.