Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  consider the Voronoi tesselation induced by a homogeneous and stationary Poisson point process of unit density in a square.  show that the mean cell size is less than unity when the seed is located exactly at the boundary, and it can be larger than unity when the seed lies close to the boundary. In addition,  calculate the second moment of the cell size at two locations, at the corner and at the edge (but far from the corner), and illustrate that the two-parameter Gamma distribution, with location-dependent parameters, provides a good fit. As a potential application,  use the Gamma approximations to study the degree distribution for secure in-connectivity in wireless sensor networks deployed over a bounded domain.
['Konstantinos Koufos', 'Carl P. Dettmann']
I am writing a research paper on a idea Distribution of Cell Size in Bounded Voronoi Tesselations with Application to Secure Local Connectivity
[{"from": "human", "value": "I am writing a research paper on a idea Distribution of Cell Size in Bounded Voronoi Tesselations with Application to Secure Local Connectivity"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  consider the Voronoi tesselation induced by a homogeneous and stationary Poisson point process of unit density in a square.  show that the mean cell size is less than unity when the seed is located exactly at the boundary, and it can be larger than unity when the seed lies close to the boundary. In addition,  calculate the second moment of the cell size at two locations, at the corner and at the edge (but far from the corner), and illustrate that the two-parameter Gamma distribution, with location-dependent parameters, provides a good fit. As a potential application,  use the Gamma approximations to study the degree distribution for secure in-connectivity in wireless sensor networks deployed over a bounded domain."}]