Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   consider algorithms for the logical topology design and traffic grooming problem in WDM networks with router interface constraints as ll as optical constraints. The optical constraints include restricted transmission range due to optical impairments as ll as limits on the number of available wavelengths.  formulate this problem as an integer linear program which is NP-complete.  then introduce heuristic algorithms which use a graphical modeling tool called the virtual neighbor graph and add lightpaths sequentially. The best performing heuristic uses a so-called resource efficiency factor to determine the order in which paths are provisioned for the traffic demands. By giving priority to demands that can be routed over paths that make efficient use of network resources, it is able to achieve good performance both in terms of ighted hop count and network throughput. For finding optimal multi-hop paths sequentially,  introduce interface constraint shortest path problem and solve it using minimum ight perfect matching
['Kwangil Lee', 'Mark A. Shayman']
I am writing a research paper on a idea Optical network design with optical constraints in multi-hop WDM mesh networks
[{"from": "human", "value": "I am writing a research paper on a idea Optical network design with optical constraints in multi-hop WDM mesh networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   consider algorithms for the logical topology design and traffic grooming problem in WDM networks with router interface constraints as ll as optical constraints. The optical constraints include restricted transmission range due to optical impairments as ll as limits on the number of available wavelengths.  formulate this problem as an integer linear program which is NP-complete.  then introduce heuristic algorithms which use a graphical modeling tool called the virtual neighbor graph and add lightpaths sequentially. The best performing heuristic uses a so-called resource efficiency factor to determine the order in which paths are provisioned for the traffic demands. By giving priority to demands that can be routed over paths that make efficient use of network resources, it is able to achieve good performance both in terms of ighted hop count and network throughput. For finding optimal multi-hop paths sequentially,  introduce interface constraint shortest path problem and solve it using minimum ight perfect matching"}]