Machine learning for indoor positioning based on received signal strength

• المؤلف الرئيسي: Felis Dwiyasa
• مؤلفون آخرون: Lim Meng Hiot
• التنسيق: Theses and Dissertations
• اللغة: English
• منشور في: 2018
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/89317; http://hdl.handle.net/10220/46235

Indoor positioning is a key technology enabler for various smart systems that require location-based optimization and automation. Despite its potential, the field of indoor positioning faces numerous challenges in terms of accuracy, precision, computational complexity, power consumption, robustness,...