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Multiobjective TDMA optimization for neuron-based molecular communication

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


Original languageEnglish
Title of host publicationBODYNETS 2012 - 7th International Conference on Body Area Networks
ISBN (Electronic)9781936968602
Publication statusPublished - 2012
Publication typeA4 Article in a conference publication
Event7th International Conference on Body Area Networks, BODYNETS 2012 - Oslo, Norway
Duration: 24 Sep 201226 Sep 2012


Conference7th International Conference on Body Area Networks, BODYNETS 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 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.


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