Title
Carbon nanotube-based nanoscale ad hoc networks
Abstract
Recent developments in nanoscale electronics allow current wireless technologies to function in nanoscale environments. Especially due to their incredible electrical and electromagnetic properties, carbon nanotubes are promising physical phenomenon that are used for the realization of a nanoscale communication paradigm. This provides a very large set of new promising applications such as collaborative disease detection with communicating in-vivo nanosensor nodes and distributed chemical attack detection with a network of nanorobots. Hence, one of the most challenging subjects for such applications becomes the realization of nanoscale ad hoc networks. In this article, we define the concept of carbon nanotube-based nanoscale ad hoc networks for future nanotechnology applications. Carbon nanotube-based nanoscale Ad hoc NETworks (CANETs) can be perceived as the down-scaled version of traditional wireless ad hoc networks without downgrading its main functionalities. The objective of this work is to introduce this novel and interdisciplinary research field and highlight major barriers toward its realization.
Year
DOI
Venue
2010
10.1109/MCOM.2010.5473874
Communications Magazine, IEEE
Keywords
Field
DocType
ad hoc networks,carbon nanotubes,nanotechnology,CANET,carbon nanotube-based nanoscale ad hoc networks,collaborative disease detection,distributed chemical attack detection,electrical properties,electromagnetic properties,future nanotechnology applications,in-vivo nanosensor nodes,nanorobots,nanoscale communication paradigm,nanoscale electronics,nanoscale environments,wireless ad hoc networks,wireless technologies
Nanosensor,Wireless,Computer science,Nanorobotics,Computer network,Electronics,Applications of nanotechnology,Carbon nanotube,Wireless ad hoc network,Nanostructure,Distributed computing
Journal
Volume
Issue
ISSN
48
6
0163-6804
Citations 
PageRank 
References 
35
2.86
4
Authors
2
Name
Order
Citations
PageRank
Baris Atakan1352.86
Özgür B. Akan254045.91