Game-Theoretic Analysis of Fusion Rules Over Molecular Reporting Channels

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS IEEE Transactions on NanoBioscience Pub Date : 2023-07-06 DOI:10.1109/TNB.2023.3290609
Sunil Kumar;Prabhat Kumar Sharma;Manav R. Bhatnagar
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Abstract

This work adopts a game theoretic approach to analyze the behavior of transmitter nanomachines (TNMs) in a diffusive 3-dimensional (3-D) channel. In order to communicate the local observations about the region of interest (RoI) to a common supervisor nanomachine (SNM), TNMs transmit information-carrying molecules to SNM. For the production of information-carrying molecules, all the TNMs share the common food molecular budget (CFMB). The TNMs apply cooperative and greedy strategic efforts to get their share from the CFMB. In the cooperative case, all the TNMs communicate to SNM as a group, therefore they cooperatively consume the CFMB to increase the group outcome, whereas, in the greedy scenario, all TNMs decide to perform alone and thus greedily consume the CFMB to increase their individual outcomes. The performance is evaluated in terms of the average rate of success, the average probability of error, and the receiver operating characteristic (ROC) of RoI detection. The derived results are verified through Monte-Carlo and particle-based simulations (PBS).
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分子报告渠道融合规则的博弈论分析。
这项研究采用博弈论方法分析了发射纳米机械(TNMs)在扩散三维(3-D)通道中的行为。为了将对感兴趣区域(RoI)的局部观察结果传递给一个共同的主管纳米机器(SNM),TNM 向 SNM 传递携带信息的分子。为了生产携带信息的分子,所有 TNM 共享共同的食物分子预算(CFMB)。TNM 采用合作和贪婪两种策略努力从 CFMB 中获取各自的份额。在合作情况下,所有 TNM 作为一个群体与 SNM 通信,因此它们合作消耗 CFMB 以增加群体成果;而在贪婪情况下,所有 TNM 决定单独行动,因此贪婪地消耗 CFMB 以增加它们的个体成果。通过平均成功率、平均错误概率和 RoI 检测的接收器操作特性 (ROC) 对性能进行了评估。得出的结果通过蒙特卡洛和粒子模拟(PBS)进行了验证。
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来源期刊
IEEE Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
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