СЪДЪРЖАНИЕ
- М. Хаджийски. Взаимното проникване и обогатяване като двустранен ускоряващ фактор за развитие на машинното обучение и автоматиката
- М. Петров. Оптимизация на биотехнологични процеси чрез комбиниран алгоритъм
- информатика
Р. Иванов. Автоматично разполагане на радиомаяци при локализация на закрито - П. Василев, В. Синдраковска. Взаимовръзки между стандартите IEC/EN 62264 и RAMI 4.0
- Р. Калтенборн. Integration in Educational Systems Extended with Artificial Intelligence – Based Technologies
- Клуб САИ през 2021 г.
- Дни на Джон Атанасов и IEEE International Conference Automatics and Informatics 2021 (ICAI’21), 30 септември – 2 октомври 2021 г., Варна
- Седма международна IEEE конференция „Big Data, Knowledge and Control Systems Engineering – BdKCSE’2021“
- 29-и международен симпозиум „Управление на енергийни, екологични и индустриални системи“, 11-12 ноември 2021 г., София
- Чл.-кор. проф. д.т.н. Филип Филипов
Key Words: Beacon deployment; indoor localization; Indoor Positioning Systems.
Abstract. Localization of visitors in public buildings is a key technology to create accessible environments using location-based services. The usability of these services and the satisfaction of their clients depend on the accurate calculation of the position of visitors. This is most often realized using wireless sensor networks. The localization accuracy depends on a number of factors, one of which is the deployment of the sensor nodes. This is a complex task, which is most often realized by experts. In this article, we offer a complete solution for creating systems for indoor localization, which includes: (1) Algorithm for fast partitioning of the building components into non-overlapping rectangles; (2) Algorithm for sensor nodes deployment based on the geometry of the rectangles obtained; and (3) Algorithm for optimizing the sensor nodes placement taking into account the connectivity between the building components (rooms and corridors), as well as the static objects, which are obstacles for radio signals. Numerous experiments have been implemented in stimulating and real environments, which prove the applicability of the proposed solution.
