Emission rate optimization in diffusion-based molecular communication among mobile bacteria

IF 2.9 4区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Nano Communication Networks Pub Date : 2023-12-14 DOI:10.1016/j.nancom.2023.100490

Xuancheng Jin, Zhen Cheng, Jie Sun

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引用次数: 0

Abstract

In quorum sensing (QS), bacteria exchange information by using molecular signals to work together. In this paper, we study diffusion-based molecular communication with the QS mechanism between the transmitter node and receiver node which are composed of a population of mobile bacteria in a cluster, respectively. The expression of average bit error probability (BEP) at a receiver bacterium is derived. Furthermore, we use the projected gradient descent (PGD) algorithm to solve the optimization problem whose objective is to minimize the average BEP under emission rate constraints which require that the emission rate of each transmitter bacterium has lower and upper bounds. Finally, the numerical results show the PGD algorithm has good convergence behaviors and it is more efficient in finding the optimal emission rate with fewer iterations than genetic algorithm. The obtained results are expected to provide guidance in designing QS-based molecular communication system with lower average BEP.

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移动细菌间基于扩散的分子通讯中的发射率优化

在法定人数感应（QS）中，细菌通过分子信号交换信息，共同工作。本文研究了基于扩散的 QS 机制的分子通信，研究对象分别是由集群中的移动细菌群组成的发送节点和接收节点。得出了接收细菌的平均比特错误概率（BEP）表达式。此外，我们还使用了投影梯度下降（PGD）算法来解决优化问题，其目标是在发射率约束条件下最小化平均误码率，发射率约束条件要求每个发射细菌的发射率都有下限和上限。最后，数值结果表明 PGD 算法具有良好的收敛性，与遗传算法相比，它能以更少的迭代次数更有效地找到最佳发射率。这些结果有望为设计平均 BEP 更低的基于 QS 的分子通讯系统提供指导。

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

Nano Communication Networks Mathematics-Applied Mathematics

CiteScore

6.00

自引率

6.90%

发文量

期刊介绍： The Nano Communication Networks Journal is an international, archival and multi-disciplinary journal providing a publication vehicle for complete coverage of all topics of interest to those involved in all aspects of nanoscale communication and networking. Theoretical research contributions presenting new techniques, concepts or analyses; applied contributions reporting on experiences and experiments; and tutorial and survey manuscripts are published. Nano Communication Networks is a part of the COMNET (Computer Networks) family of journals within Elsevier. The family of journals covers all aspects of networking except nanonetworking, which is the scope of this journal.