On attractant scheduling in networks based on bacterial communication
Yunlong Gao1, Sriram Lakshmanan2, and Raghupathy Sivakumar2
1Shanghai Jiaotong University
Shanghai, China
2GNAN Research Group
School of Electrical and Computer Engineering
Georgia Institute of Technology
Abstract
In this paper, we explore the problem of attractant scheduling in networks based on bacterial communication.
Bacterial communication is a communication paradigm between
biological cells which involves the physical motion of flagellated
bacteria such as E. coli from the transmitter to the receiver using
chemical attractants. Although bacterial communication occurs
in nature, engineering such communication links is non-trivial
because the number of attractants is limited in practice. Thus
scheduling among bacterial communication links is required
when there are multiple information transmitter-receiver pairs
in the same vicinity. We analyze this problem and model the
delay and information loss in such environments. We validate
our model using simulations. Our study provides new insights
for the design of attractant scheduling algorithms in multi-node
bacterial communication networks.