Performance Evaluation of Leader–Follower-Based Mobile Molecular Communication Networks for Target Detection Applications

Performance Evaluation of Leader–Follower-Based Mobile Molecular Communication Networks for Target Detection Applications
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DOI:
10.1109/tcomm.2016.2628037
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发表时间:
2017-02
影响因子:
8.3
通讯作者:
T. Nakano;Yutaka Okaie;Shouhei Kobayashi;T. Koujin;Chen-Hao Chan;Y. Hsu;T. Obuchi;T. Hara;Y. Hiraoka;T. Haraguchi
T. Nakano;Yutaka Okaie;Shouhei Kobayashi;T. Koujin;Chen-Hao Chan;Y. Hsu;T. Obuchi;T. Hara;Y. Hiraoka;T. Haraguchi
中科院分区:
计算机科学2区
文献类型:
--
作者:
T. Nakano;Yutaka Okaie;Shouhei Kobayashi;T. Koujin;Chen-Hao Chan;Y. Hsu;T. Obuchi;T. Hara;Y. Hiraoka;T. Haraguchi

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提出了一种基于leader - follower的移动分子通信网络目标检测模型。该模型将分子通信网络的应用功能划分为两种类型的移动生物纳米机:领导者和追随者生物纳米机。领先的生物纳米机器分布在环境中,以检测目标并在目标周围产生引诱梯度。跟随生物纳米机器根据领导生物纳米机器建立的引诱梯度移动;它们接近目标并执行必要的功能,例如释放药物分子。本文为所提出的模型开发了数学表达式,描述了用于估计模型参数的湿实验室实验,并进行了生物逼真的计算机模拟实验来评估所提出模型的性能。本文的主要贡献在于阐明了分子通信网络的功能划分,为分子通信网络的设计和开发提供了理论依据。此外,基于所提出的模型,将深入了解分子通信网络的应用级性能。
This paper proposes a leader–follower-based model of mobile molecular communication networks for target detection applications. The proposed model divides the application functionalities of molecular communication networks into two types of mobile bio-nanomachine: leader and follower bio-nanomachines. Leader bio-nanomachines distribute in the environment to detect a target and create an attractant gradient around the target. Follower bio-nanomachines move according to the attractant gradient established by leader bio-nanomachines; they approach the target and perform necessary functionalities, such as releasing drug molecules. This paper develops mathematical expressions for the proposed model, describes wet laboratory experiments designed to estimate model parameters, and performs biologically realistic computer simulation experiments to evaluate the performance of the proposed model. The main contributions of this paper are to demonstrate the functional division of molecular communication networks, which will facilitate the design and development of molecular communication networks. Furthermore, insight into the application-level performance of molecular communication networks will be provided based on the proposed model.