Development of artificial neuronal networks for molecular communication

Balasubramaniam, Sasitharan and Boyle, Noreen T. and Della-Chiesa, Andrea and Walsh, Frank and Mardinoglu, Adil and Botvich, Dmitri and Prina-Mello, Adriele (2011) Development of artificial neuronal networks for molecular communication. Nano Communication Networks, 2 (2-3). pp. 150-160. ISSN 1878-7789

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Communication at the nanoscale can enhance capabilities for nanodevices, and at the same time open new opportunities for numerous healthcare applications. One approach toward enabling communication between nanodevices is through molecular communications. While a number of solutions have been proposed for molecular communication (e.g. calcium signaling, molecular motors, bacteria communication), in this paper, we propose the use of neuronal networks for molecular communication network. In particular, we provide two design aspects of neuron networks, which includes, (i) the design of an interface between nanodevice and neurons that can initiate signaling, and (ii) the design of transmission scheduling to ensure that signals initiated by multiple devices will successfully reach the receiver with minimum interference. The solution for (i) is developed through wet lab experiments, while the solution for (ii) is developed through genetic algorithm optimization technique, and is validated through simulations.

Item Type: Article
Additional Information: Funding Information: Trinity College was partially funded under the FP7 Project NAMDIATREAM (246479), and CRANN Science Foundation Ireland Centre for Science, Engineering, and Technology . Funding Information: This work has received support from Science Foundation Ireland under Grant Number 09/SIRG/I1643 (“ A Biologically inspired framework supporting network management for the Future Internet ”); and the Knut and Alice Wallenburg Foundation, Sweden.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1705
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Depositing User: Admin SSL
Date Deposited: 19 Oct 2022 23:08
Last Modified: 26 Jun 2023 16:05

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