GA-based frequency selection strategies for graphene-based nano-communication networks

Armita Afsharinejad, Alan Davy, Brendan Jennings, Sasitharan Balasubramaniam

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

12 Citations (Scopus)

Abstract

We propose and evaluate a number of of frequency selection strategies for nano-scale devices using graphene-based nano-antennas ('graphennas'), which operate in the Terahertz band. The strategies take into account the limitations of Terahertz channel and aim to optimize the overall network transmission rate of a network of nano-devices, while maximizing various objectives. We investigate the trade-off between cases where: 1) frequency duplication within the network is allowed or prevented; 2) limiting the spread of frequencies over the entire Terahertz range is required; and 3) balancing the load between the network sink nodes is required. We compare the network performance for the different objectives proposed against a random frequency selection strategy. Our simulation study demonstrates the efficiency of the proposed algorithms and indicates their usefulness in different application scenarios.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
PublisherIEEE
Pages3642-3647
Number of pages6
ISBN (Print)9781479920037
DOIs
Publication statusPublished - 2014
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia
Duration: 10 Jun 201414 Jun 2014

Publication series

Name2014 IEEE International Conference on Communications, ICC 2014

Conference

Conference2014 1st IEEE International Conference on Communications, ICC 2014
Country/TerritoryAustralia
CitySydney, NSW
Period10/06/201414/06/2014

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