By Yutaka Okaie, Tadashi Nakano, Takahiro Hara, Shojiro Nishio
ISBN-10: 9811024677
ISBN-13: 9789811024672
ISBN-10: 9811024685
ISBN-13: 9789811024689
This e-book describes the most rules, equipment, effects and assets correct to the examine of bionanosensor networks. Its basic objective is to spark application-oriented reports of molecular verbal exchange; that's, to enquire how collections of bionanosensors, mentioned right here as bionanosensor networks, can be utilized for functional reasons similar to nanomedical sensing. specifically, the e-book specializes in key functionalities for nanomedical functions: goal detection and aim monitoring. Bionanosensor networks characterize a brand new interdisciplinary examine quarter that expands the conventional sector of community engineering by way of incorporating the most recent advances in bionanotechnology. those networks encompass spatially allotted bionanosensors which are engineered with the aid of bionanotechnology. As a learn region, bionanosensor networks are geared toward designing powerful networks at the foundation of spatially disbursed bionanosensors, in addition to at constructing leading edge functions of these networks.
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Additional info for Target Detection and Tracking by Bionanosensor Networks
Example text
Y. Okaie, T. Nakano, T. Hara, S. Nishio, Autonomous mobile bionanosensor networks for target tracking: a two-dimensional model. Nano Commun. Netw. 5(3), 63–71 (2014) Chapter 4 Controllability of Mobile Bionanosensors Abstract Interconnecting bionanosensor networks and conventional devices is of considerable interest to realize the emerging concept of the Internet of NanoThings (IoNT) and the Internet of BioNanoThings (IoBNT) [1]. In this chapter, we consider interfacing mobile bionanosensors and external devices that can control the mobility of bionanosensors via molecular communication for target detection and tracking purposes.
They do not diffuse away at the boundaries of the area), the initial condition and boundary conditions for attractants become Ca = 0 at t = 0, ∂Ca = 0 at x = −L and L , ∂x ∂Ca = 0 at x = −L and L . 3 Dynamics of Repellent Concentration Bionanosensors use repellents to distribute over the monitoring area. 13) where Dr is the diffusion coefficient of repellents, gr the production rate of repellents, and kr the decay rate constant of repellents. When the production rate of repellents is constant per bionanosensor, we describe gr as gr = v Cb .
We used a set of partial differential equations to describe the spatial-temporal dynamics of the concentrations of bionanosensors. We then numerically integrated the set of partial differential equations to demonstrate the ability of the dynamic bionanosensor network to locate and track targets. References 1. J. Keener, J. Sneyd, Mathematical Physiology: I: Cellular Physiology (Springer, New York, 2008) 2. J. Keener, J. Sneyd, Mathematical Physiology: II: Systems Physiology (Springer, New York, 2008) 3.
Target Detection and Tracking by Bionanosensor Networks by Yutaka Okaie, Tadashi Nakano, Takahiro Hara, Shojiro Nishio
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