@inProceedings{
 title = {GA-based frequency selection strategies for graphene-based nano-communication networks},
 type = {inProceedings},
 year = {2014},
 identifiers = {[object Object]},
 pages = {3642-3647},
 id = {b10575a1-d2db-3aa3-bfbd-2b7129d11684},
 created = {2016-05-10T14:14:53.000Z},
 file_attached = {false},
 profile_id = {5563af7c-3bf0-3ab0-8874-681d5434a1e7},
 last_modified = {2017-03-26T02:26:39.565Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 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.},
 booktitle = {2014 IEEE International Conference on Communications, ICC 2014}
}

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