Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new sensor-to-point ‘coverage distance’ to address the anisotropic sensing property of directional sensors. This new coverage distance is then employed to design a distributed coverage optimization algorithm for deployment of directional sensor networks. Different from existing approaches, the newly proposed coverage distance takes advantage of homeomorphism, which could reflect the relationship beten the isotropic and the anisotropic spaces. Based on the interpretation of physical sensing models, a homeomorphism is first constructed so that the original anisotropic sensing space is mapped into an isotropic sensing space, in which the sensor-to-point ‘coverage distance’ can be defined through the Euclidean distance. Then, the coverage distance is used to generate an appropriate scene partition, called ‘Directional Voronoi Partition’ (DVP), which warrants the design and implementation of a distributed coverage optimization algorithm for deployment of directional sensor networks. The developed method is tested with an circular sector sensor. Simulation results are provided to verify the effectiveness of the proposed approach.
['Xuebo Zhang', 'Xiang Chen', 'Xiao Liang', 'Yongchun Fang']
I am writing a research paper on a idea Distributed coverage optimization for deployment of directional sensor networks
[{"from": "human", "value": "I am writing a research paper on a idea Distributed coverage optimization for deployment of directional sensor networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new sensor-to-point \u2018coverage distance\u2019 to address the anisotropic sensing property of directional sensors. This new coverage distance is then employed to design a distributed coverage optimization algorithm for deployment of directional sensor networks. Different from existing approaches, the newly proposed coverage distance takes advantage of homeomorphism, which could reflect the relationship beten the isotropic and the anisotropic spaces. Based on the interpretation of physical sensing models, a homeomorphism is first constructed so that the original anisotropic sensing space is mapped into an isotropic sensing space, in which the sensor-to-point \u2018coverage distance\u2019 can be defined through the Euclidean distance. Then, the coverage distance is used to generate an appropriate scene partition, called \u2018Directional Voronoi Partition\u2019 (DVP), which warrants the design and implementation of a distributed coverage optimization algorithm for deployment of directional sensor networks. The developed method is tested with an circular sector sensor. Simulation results are provided to verify the effectiveness of the proposed approach."}]