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Evolutionary game theoretic resource allocation simulation for molecular communication
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Authors: Caglar Koca, Meltem Civas, Ozgur B. Akan
Status: Final
Date of publication: 30 July 2021
Published in: ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 3 - Internet of Bio-Nano Things for health applications, Pages 111-119
Article DOI : https://doi.org/10.52953/BWPI5246
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 | Abstract:
Molecular Communication (MC) is an emerging technology using molecules to transfer information between nanomachines. In this paper, we approach the resource allocation problem in Molecular Nano-networks (MCN) from the perspective of evolutionary game theory. In particular, we consider an MCN as an organism having three types of nodes acting as a sensor, relay, and sink, respectively. The resources are distributed among the nodes according to an evolutionary process, which relies on the selection of the most successful organisms followed by creating their offspring iteratively. In this regard, the success of an organism is measured by the total number of dropped messages during its life cycle. To illustrate the evolution procedure, we design a toy problem, and then solve it analytically and using the evolution approach for comparison. We further simulate the performance of the evolution approach on randomly generated organisms. The results reveal the potential of evolutionary game theory tools to improve the transmission performance of MCNs. |
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Keywords: Evolutionary game theory, molecular communication, nano-networks, resource allocation
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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