Cheng / Akan / Bellavista Nano-Net

Third International ICST Conference, NanoNet 2008, Boston, MS, USA, September 14-16, 2008. Revised Selected Papers
1. Auflage 2009
ISBN: 978-3-642-02427-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 3, 143 Seiten

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the proceedings of the 4th International Conference on Nano-Networks, Nano-Net 2009, held in Lucerne, Switherland, in October 2009.

The 36 invited and regular papers address the whole spectrum of Nano-Networks and spans topis like modeling, simulation, statdards, architectural aspects, novel information and graph theory aspects, device physics and interconnects, nanorobotics as well as nano-biological systems. The volume also contains the workshop on Nano-Bio-Sensing Paradigms as well as the workshop on Brain Inspired Interconnects and Circuits.

Written for: Researchers and professionals

Keywords: biomachines, biosensors, memristor, microtubules, molecular circuits, molecular communication, nano-scale, nanoelectronic, nanomaterials, nanonetworks, printable circuits, quantum computing, quantum devices, quantum dots, quantum wires, thin films, ultra low energy, wireless sensor networks.

Autoren/Hrsg.

Akan, Ozgur

Bellavista, Paolo

Cao, Jiannong

Dressler, Falko

Ferrari, Domenico

Gerla, Mario

K, Hisashi

Cheng, Maggie Xiaoyan

Inhaltsverzeichnis

1;Preface;5
2;Organization;7
3;Table of Contents;11
4;3D CMOL Crossnet for Neuromorphic Network Applications;13
4.1;Introduction;13
4.2;3D CMOL Crossnet;14
4.3;Performance Evaluation;15
4.4;Conclusion;16
4.5;References;17
5;Structural Fault Modelling in Nano Devices;18
5.1;Introduction;18
5.2;Probabilistic Model for Nanoscale Computation;18
5.2.1;Modeling Noise at Inputs and Interconnects;20
5.2.2;NANOLAB;20
5.2.3;Fault Models;20
5.3;Results;22
5.4;Conclusions;22
5.5;References;22
6;Proposal for Memristors in Signal Processing;23
6.1;References;25
7;Normal and Reverse Temperature Dependence in Variation-Tolerant Nanoscale Systems with High-k Dielectrics and Metal Gates;26
7.1;Introduction;26
7.2;Temperature Impact on Current and Delay;27
7.3;Variation-Tolerant Systems with Complex Temperature Dependences;28
7.4;Conclusion;29
7.5;References;30
8;NEMS Capacitive Sensors for Highly Sensitive, Label-Free Nucleic-Acid Analysis;31
8.1;Introduction;31
8.2;Experimental;32
8.2.1;Device Fabrication;32
8.3;Conclusion;36
8.4;References;36
9;Impact of Process Variation in Fault-Resilient Streaming Nanoprocessors;38
9.1;Background;38
9.2;Simulation Results;38
9.3;References;39
10;Hybrid DNA and Enzyme Based Computing for Address Encoding, Link Switching and Error Correction in Molecular Communication;40
10.1;Introduction;40
10.2;Background;41
10.2.1;Molecular Communication;41
10.2.2;Molecular Computing;41
10.3;Defining Protocols for Molecular Communication;42
10.3.1;Communication Network Protocols;42
10.3.2;Protocols for Molecular Communication;43
10.4;Proposed Solution;45
10.4.1;Encoding and Addressing;46
10.4.2;Molecular Interface Control;47
10.4.3;DNA Decoding and Forward Error Correction;48
10.5;Conclusion and Future Work;49
10.6;References;50
11;Hitting Time Analysis for Stochastic Communication;51
11.1;Introduction;51
11.2;Related Work;52
11.3;Hitting Time Analysis;52
11.4;Experimental Results;54
11.5;Conclusions;55
11.6;References;55
12;FPAA Based on Integration of CMOS and Nanojunction Devices for Neuromorphic Applications;56
12.1;Introduction;56
12.2;Proposed Neuro-FPAA Architecture;57
12.2.1;FPAA Basics;57
12.2.2;Proposed Neuro-FPAA;57
12.3;Operation Analysis and Performance Evaluation;58
12.3.1;Performance Evaluation;59
12.4;Conclusion;59
12.5;References;60
13;Exploring Multi-layer Graphene Nanoribbon Interconnects;61
13.1;Introduction;61
13.2;Conductance Modeling of Multi-layer GNR;62
13.2.1;Single-Layer GNR Conductance;62
13.2.2;Multi-layer GNR Conductance;63
13.3;Conductance Comparison;64
13.4;Conclusion;64
13.5;References;65
14;Digital Microfluidic Logic Gates;66
14.1;Introduction;66
14.2;Digital Microfluidic Platform;67
14.3;Digital Microfluidic Logic Gates;67
14.4;Potential Application of Microfluidic Logic;70
14.5;Conclusions;72
14.6;References;72
15;Application of Molecular Electronics Devices in Digital Circuit Design;73
15.1;Introduction;73
15.2;Device Model;73
15.3;Implementation and Results;75
15.4;Conclusion;77
15.5;References;77
16;A Voltage Controlled Nano Addressing Circuit;78
16.1;References;79
17;A SWNT-Based Sensor for Detecting Human Blood Alcohol Concentration;81
17.1;Introduction and Motivations;81
17.2;Theoretical Models of CNT Based Alcohol Sensors;82
17.3;Design of a CNT Based Alcohol Sensor;82
17.4;Experiments of CNT Sensing Elements;83
17.4.1;Experiment Group #1;83
17.4.2;Experiment Group #2;84
17.5;Conclusions and Future Work;84
17.6;References;85
18;A Dual-Mode Hybrid ARQ Scheme for Energy Efficient On-Chip Interconnects;86
18.1;Introduction;86
18.2;Proposed Error Control Scheme;87
18.3;Results and Analysis;88
18.4;Conclusion;90
18.5;References;90
19;Using Randomly Assembled Networks for Computation;92
19.1;Introduction;92
19.2;Principles of Perturbation-Based Computing;93
19.3;Design Principles for Perturbation Based Computing;94
19.4;Conclusion;96
19.5;References;96
20;A Biochemically-Engineered Molecular Communication System;97
20.1;Introduction;97
20.2;Key Features and Basic Communication Processes;98
20.3;Detailed System Design and Initial Experimental Results;100
20.3.1;Molecular Communication Interface;100
20.3.2;Molecular Propagation System;101
20.3.3;Receiver;103
20.3.4;Integrated Molecular Communication System;104
20.4;Conclusions;105
20.5;References;105
21;Random Walks on Random Graphs;107
21.1;Introduction;107
21.1.1;Mixing Time;107
21.1.2;Cover Time;108
21.2;Applications in Computer Science;108
21.2.1;Rapid Mixing;108
21.2.2;Cover-Time;110
21.3;Random Graphs;111
21.3.1;Mixing Time;111
21.3.2;Cover Time of Random Graphs;111
21.3.3;Multiple Particle Walks;113
21.3.4;Random Walks on Random Graph Processes;115
21.3.5;Constructing Random Networks Using Random Walks;116
21.4;References;117
22;Optical Networking in a Swarm of Microrobots;119
22.1;Introduction;119
22.1.1;The I-SWARM Project;120
22.2;A Miniaturized Communication Module for Microrobots;121
22.2.1;Hardware Description;122
22.2.2;Communication Properties;123
22.2.3;A Basic Communication Strategy between Microrobots;124
22.3;A Bio-Inspired Vector-Based Swarm Algorithm;125
22.3.1;Results;128
22.4;Conclusions;129
22.5;References;130
23;Counting Photons Using a Nanonetwork of Superconducting Wires;132
23.1;References;134
24;Communicating Mobile Nano-Machines and Their Computational Power;135
24.1;Introduction;135
24.2;Nanomachine Computational Model;137
24.3;Communication Protocol;139
24.4;Distributed Computing through Nanomachines;141
24.5;References;142
25;Author Index;143