Performance Evaluation of Leader-Follower-Based Mobile Molecular Communication Networks for Target Detection Applications
Journal
IEEE Transactions on Communications
Journal Volume
65
Journal Issue
2
Pages
663
Date Issued
2017-02-01
Author(s)
Nakano, Tadashi
Okaie, Yutaka
Kobayashi, Shouhei
Koujin, Takako
Chan, Chen Hao
Obuchi, Takuya
Hara, Takahiro
Hiraoka, Yasushi
Haraguchi, Tokuko
Abstract
© 1972-2012 IEEE. 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.
Subjects
bio-nanomachine | collective behavior | haptotaxis | leader-follower model | Mobile molecular communication network | target detection | targeted drug delivery
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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