Robustness in TDMA Scheduling for Neuron-based Molecular Communication

This paper proposes and evaluates an optimizer for neuron-based body-area nanonetworks (BANNs). The proposed optimizer leverages an evolutionary algorithm to seek the optimal trade-off between communication latency and robustness in TDMA-based neuronal signaling. Simulation results demonstrate that the proposed optimizer efficiently obtains quality solutions and multiobjective analysis is critical in configuring neuron-based BANNs.

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