Suzuki, Junichi and Balasubramaniam, Sasitharan and Prina-Mello, Adriele (2012) Multiobjective TDMA optimization for neuron-based molecular communication. In: BODYNETS 2012 - 7th International Conference on Body Area Networks :. BODYNETS 2012 - 7th International Conference on Body Area Networks . ICST, NOR. ISBN 9781936968602
Full text not available from this repository. (Request a copy)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.
Item Type: | Book Section |
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Additional Information: | Publisher Copyright: Copyright © 2012 ICST. |
Uncontrolled Keywords: | /dk/atira/pure/subjectarea/asjc/1700/1706 |
Departments or Groups: | |
Depositing User: | Admin SSL |
Date Deposited: | 19 Oct 2022 23:17 |
Last Modified: | 06 Jul 2023 00:35 |
URI: | http://repository-testing.wit.ie/id/eprint/5146 |
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