Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the influence of tree's depth and nodes' fan-out on the performance of WiMax mesh networks. For a given tree topology,  first analytically obtain per-node delay and per-node throughput. Then among plenty of tree topologies, extractable from a given network's graph,  search feasible trees which fulfil some per-node and network QoS requirements. Since the searching space is potentially very huge,  use a genetic algorithm in order to explore enough good delay and throughput trade-off.  use the Pruefer code tree representation follod by novel genetic operators. Moreover, by using proper fitness functions,  are able to investigate any desired delay and throughput trade-off in a unified framework. Employing genetic algorithm approach leads to the exploration of extremely wide search space in a reasonably short time, which results in overall scalability and accuracy of the proposed tree exploration algorithm. Due to fast convergence, the proposed genetic algorithm is a good candidate to be implemented in a real-life Base Station (BS) in order to construct adaptive tree topologies based on nodes' traffic demand.
['Saeed Bastani', 'Saleh Yousefi', 'Mojtaba Mazoochi', 'Alireza Ghiamatyoun']
I am writing a research paper on a idea On the QoS tree construction in WiMAX mesh networks based on genetic algorithm approach
[{"from": "human", "value": "I am writing a research paper on a idea On the QoS tree construction in WiMAX mesh networks based on genetic algorithm approach"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the influence of tree's depth and nodes' fan-out on the performance of WiMax mesh networks. For a given tree topology,  first analytically obtain per-node delay and per-node throughput. Then among plenty of tree topologies, extractable from a given network's graph,  search feasible trees which fulfil some per-node and network QoS requirements. Since the searching space is potentially very huge,  use a genetic algorithm in order to explore enough good delay and throughput trade-off.  use the Pruefer code tree representation follod by novel genetic operators. Moreover, by using proper fitness functions,  are able to investigate any desired delay and throughput trade-off in a unified framework. Employing genetic algorithm approach leads to the exploration of extremely wide search space in a reasonably short time, which results in overall scalability and accuracy of the proposed tree exploration algorithm. Due to fast convergence, the proposed genetic algorithm is a good candidate to be implemented in a real-life Base Station (BS) in order to construct adaptive tree topologies based on nodes' traffic demand."}]