Title
Stochastic Channel Switching of Frequency-Encoded Signals in Molecular Communication Networks.
Abstract
This letter investigates the impact of noise on the functionality of channel switches in molecular communication networks. The channel switches considered in this letter are designed based on a set of biological cells that propagate frequency-encoded Ca 2+ signals through gap junction channels. First, we develop a stochastic and generalized model of Ca 2+ signaling considering three types of noise, such as internal noise, external noise, and gating noise of gap junction channels. Second, we develop a method based on spectral analysis to determine whether cells extract information from frequency-encoded Ca 2+ signals. Third, we examine numerically whether channel switches propagate Ca 2+ signals to selected cells in the presence of noise, and show how noise degrades the performance of channel switches.
Year
DOI
Venue
2018
10.1109/LCOMM.2017.2768537
IEEE Communications Letters
Keywords
Field
DocType
Junctions,Data mining,Calcium,Permeability,Mathematical model,Stochastic processes,Spectral analysis
External noise,Molecular communication,Gating,Computer science,Communication channel,Computer network,Stochastic process,Spectral analysis
Journal
Volume
Issue
ISSN
22
2
1089-7798
Citations 
PageRank 
References 
3
0.61
0
Authors
6
Name
Order
Citations
PageRank
Peng He1233.50
tadashi nakano237479.47
Yuming Mao312519.13
Pietro Liò455099.98
Qiang Liu5254.20
Kun Yang62045177.36