Allocation using a heterogeneous space Voronoi diagram

Feng, Xiyun; Murray, Alan T.

doi:10.1007/s10109-018-0274-5

Cited by 31 publications

(14 citation statements)

References 49 publications

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“…On the other hand, the approach is highly sensitive to the spatial localization and number of the APs. The Wi-Fi devices will always connect to the closest AP, inducing a Voronoi tessellation of the building space [45]. If this spatial tessellation is not regular, in the sense that some AP covers much more space than other APs, then spatial resolution of the crowd localization will be distorted and biased towards the AP with the large receptive field.…”

Section: Discussionmentioning

confidence: 99%

Indoor Crowd 3D Localization in Big Buildings from Wi-Fi Access Anonymous Data

Kamińska-Chuchmała

Graña

2019

Sensors

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Indoor crowd localization and counting in big public buildings pose problems of infrastructure deployment, signal processing, and privacy. Conventional approaches based on optical cameras, either in the visible or infrared range, received signal strength in wireless networks, sound or chemical sensing in sensor networks need careful calibration, noise removal, and sophisticated data processing to achieve results in limited scenarios. Moreover, personal data protection is a growing concern, so that detection methods that preserve the privacy of people are highly desirable. The aim of this paper is to provide a technique that may generate estimations of the localization of people in a big public building using anonymous data from already-deployed Wi-Fi infrastructure. We present a method applying geostatistical techniques to the access data acquired from Access Points (AP) in an open Wi-Fi network. Specifically, only the time series of the number of accesses per AP is required. Geostatistical methods produce a 3D high-quality spatial distribution representation of the people inside the building based on the interaction of their mobile devices with the APs. We report encouraging results obtained from data acquired at a building of Wroclaw University of Science and Technology.

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Section: Discussionmentioning

confidence: 99%

Indoor Crowd 3D Localization in Big Buildings from Wi-Fi Access Anonymous Data

Kamińska-Chuchmała

Graña

2019

Sensors

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“…Diagram voronoi menunjukan pembagian suatu wilayah tertentu menjadi beberapa bagian yang disebut cell, dimana masing-masing bagian berisi satu titik lokasi yang disebut site. Dengan demikian, setiap titik pada wilayah tersebut telah dipasaangkan dengan site yang terdekat [20], [21], III. METODE PENELITIAN Penelitian ini bertujuan untuk menganalisa kebutuhan site 5G pada wilayah Kecamatan Lowokwaru, Kota Malang.…”

Section: ) Diagramunclassified

Pemodelan Site pada Heterogen Network 5G Menggunakan Optimized Network Enggineering Tools

Aisah

Sarosa

Widjayanti

2021

JEPIN

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Penelitian ini melakukan analisis desain Pemodelan Site Pada Heterogen Network 5G (HetNet 5G) Menggunakan Optimized Network Enggineering Tools. Pemodelan menggunakan perhitungan dan simulasi untuk menganalisis traffic dan coverage generasi sebelumnya yaitu 4G LTE yang diterapkan pada jaringan seluler existing pada site HetNet 5G, untuk memenuhi kebutuhan penempatan site 5G. Hasil penelitian ini diharapkan dapat digunakan sebagai rekomendasi bagi operator seluler. Data yang digunakan simulasi diperoleh dari salah satu operator seluler Indonesia di wilayah Kecamatan Lowokwaru Malang yaitu sebanyak 40 site. Berdasarkan perhitungan dan simulasi dari ke 40 site tersebut diperoleh 6 site yang potensi diterapkan site teknologi 5G. Tahapan penelitian ini diawali dengan penentuan lokasi wilayah yang potensi diterapkan site 5G, data lokasi koordinat dan parameter site untuk perhitungan prediksi kenaikan jumlah penduduk selama 5 tahun yang akan datang, analisis morfologi dan wilayah point of interes (POI), serta kapasitas penduduk sedangkan perhitungan troughput menjadi kriteria di masing-masing kelurahan. Selanjutnya, hasil perhitungan dan simulasi di plotkan pada Map Info untuk menampilkan persebaran site di masing-masing kelurahan. Site yang memenuhi potensi 5G di plot dengan diagram voronoi aplikasi dalam Map Info sesuai radius 4G dan 5G. Diagram voronoi menampilkan coverage berbeda teknologi 4G dan 5G.

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“…e Voronoi diagram is a geometric figure formed by the circumscribed circle center of a triangle; it is mainly used for the prediction of meteorology and precipitation [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Construction of Earthquake Rescue Model Based on Hierarchical Voronoi Diagram

Pan

2020

Mathematical Problems in Engineering

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Traditional earthquake rescue methods have many problems, such as the impact of road damage on earthquake rescue, the rational allocation of disaster relief materials, and the active division of rescue areas. According to the characteristics of earthquake relief, a new earthquake rescue model is designed from three aspects: high-altitude rescue, road transport relief supplies, and street human resources rescue. In this paper, the hierarchical Voronoi diagram is applied to the earthquake rescue problem, the earthquake rescue model is constructed, and the area affected by the earthquake is reasonably divided. We discussed the earthquake intensity and the proportion of the population in the disaster area and the number of disaster relief materials and other parameters and conducted an in-depth analysis of the model to form a useful earthquake rescue model. Visual simulation results have been obtained by computer simulation. Compared with the traditional earthquake rescue plan, the model proposed in this paper is more effective and scientific in improving the material distribution, personnel rescue, and postdisaster reconstruction after the earthquake, and it also provides a new idea for the rescue of other natural disasters. It has practical social value and broad application prospects. Besides, the models and conclusions given in this paper have been recognized by the Seismological Bureau of Hainan Province and the Mathematics Research Center of Hainan Province.

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Allocation using a heterogeneous space Voronoi diagram

Cited by 31 publications

References 49 publications

Indoor Crowd 3D Localization in Big Buildings from Wi-Fi Access Anonymous Data

Indoor Crowd 3D Localization in Big Buildings from Wi-Fi Access Anonymous Data

Pemodelan Site pada Heterogen Network 5G Menggunakan Optimized Network Enggineering Tools

Construction of Earthquake Rescue Model Based on Hierarchical Voronoi Diagram

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