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Location Selection Scheme of Smart Light Pole Based on Segmentation Optimization
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Abstract
Smart lamp poles, as a key component of smart cities, not only meet the lighting demands but also provide an ideal deployment platform for 5G micro-base stations and charging piles. Therefore, the site selection of smart lamp poles is of great importance, as it needs to consider the relationships between various subsystems, such as 5G micro-base stations and charging piles, while achieving high efficiency, wide coverage, and low cost. Based on this, this paper proposes an innovative optimization model for smart lamp pole site selection. The model starts from a planar perspective, using a segmented optimization strategy to pre-screen the candidate points, and then employs a genetic algorithm to optimize the solutions, ensuring the efficiency and practicality of the site selection scheme. After adjusting the grid parameters, the model is validated through simulations in a specific region, successfully providing a comprehensive and practical smart lamp pole site selection scheme. This study provides a valuable reference for the rational deployment of smart lamp poles in smart city construction.
References
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How to cite this paper
Location Selection Scheme of Smart Light Pole Based on Segmentation Optimization
How to cite this paper: Chufeng Yang, Yanting Liao, Yangyang Wu, Huiying Wu, Minqi Liu, Wenchao Zhang. (2024) Location Selection Scheme of Smart Light Pole Based on Segmentation Optimization. Advances in Computer and Communication, 5(3), 170-176.
DOI: http://dx.doi.org/10.26855/acc.2024.07.003
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