Multiobjective TDMA optimization for neuron-based molecular communication

Junichi Suzuki, Sasitharan Balasubramaniam, Adriele Prina-Mello

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

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 them via several operators such as selection, crossover, mutation and offspring size adjustment. The evolution process is performed to seek Pareto-optimal signaling schedules subject to given constraints. Simulation results verify that the proposed EMOA efficiently obtains quality solutions. It outperforms several conventional EMOAs.

Original languageEnglish
Title of host publicationBODYNETS 2012 - 7th International Conference on Body Area Networks
EditorsIlangko Balasingham
PublisherICST
ISBN (Electronic)9781936968602
DOIs
Publication statusPublished - 2012
Event7th International Conference on Body Area Networks, BODYNETS 2012 - Oslo, Norway
Duration: 24 Sep 201226 Sep 2012

Publication series

NameBODYNETS 2012 - 7th International Conference on Body Area Networks

Conference

Conference7th International Conference on Body Area Networks, BODYNETS 2012
Country/TerritoryNorway
CityOslo
Period24/09/201226/09/2012

Keywords

  • Evolutionary multiobjective optimization algorithms
  • Molecular communication
  • Neuronal networks
  • TDMA scheduling

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