GA-based frequency selection strategies for graphene-based nano-communication networks. Afsharinejad, A., Davy, A., Jennings, B., & Balasubramaniam, S. In 2014 IEEE International Conference on Communications, ICC 2014, pages 3642-3647, 2014. abstract bibtex 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. © 2014 IEEE.
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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. © 2014 IEEE.},
bibtype = {inProceedings},
author = {Afsharinejad, A. and Davy, A. and Jennings, B. and Balasubramaniam, S.},
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