Multiobjective TDMA optimization for neuron-based molecular communication

@inproceedings{Suzuki2012MultiobjectiveTO,
  title={Multiobjective TDMA optimization for neuron-based molecular communication},
  author={Junichi Suzuki and Sasitharan Balasubramaniam and Adriele Prina-Mello},
  booktitle={BODYNETS},
  year={2012}
}
This paper proposes and evaluates Neuronal TDMA, a TDMA-based signaling protocol framework for molecular communication, which utilizes neurons as a primary component to build in-body sensor-actuator networks (IBSANs). Neuronal TDMA leverages an evolutionary multiobjective optimization algorithm (EMOA) that optimizes the signaling schedule for nanomachines in IBSANs. The proposed EMOA uses a population of solution candidates, each of which represents a particular signaling schedule, and evolves… CONTINUE READING

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-8 OF 8 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Biologically Inspired Network Systems: A Review and Future Prospects

  • IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
  • 2011
VIEW 1 EXCERPT