Research Article
Multiobjective TDMA Optimization for Neuron-based Molecular Communication
@INPROCEEDINGS{10.4108/icst.bodynets.2012.250037, author={Junichi Suzuki and Sasitharan Balasubramaniam and Adriele Prina-Mello}, title={Multiobjective TDMA Optimization for Neuron-based Molecular Communication}, proceedings={7th International Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2012}, month={11}, keywords={molecular communication neuronal networks tdma schedul- ing evolutionary multiobjective optimization algorithms}, doi={10.4108/icst.bodynets.2012.250037} }- Junichi Suzuki
Sasitharan Balasubramaniam
Adriele Prina-Mello
Year: 2012
Multiobjective TDMA Optimization for Neuron-based Molecular Communication
BODYNETS
ICST
DOI: 10.4108/icst.bodynets.2012.250037
Abstract
This paper proposes and evaluates Neuronal TDMA, a TDMA- based signaling protocol framework for molecular commu- nication, which utilizes neurons as a primary component to build in-body sensor-actuator networks (IBSANs). Neuronal TDMA leverages an evolutionary multiobjective optimiza- tion algorithm (EMOA) that optimizes the signaling sched- ule for nanomachines in IBSANs. The proposed EMOA uses a population of solution candidates, each of which repre- sents a particular signaling schedule, and evolves them via several operators such as selection, crossover, mutation and offspring size adjustment. The evolution process is per- formed to seek Pareto-optimal signaling schedules subject to given constraints. Simulation results verify that the pro- posed EMOA efficiently obtains quality solutions. It out- performs several conventional EMOAs.