Cognitive RF-based localization for mission-critical applications in smart cities: An overview

ULUŞAR Ü. D., ÇELİK G., Al-Turjman F.

COMPUTERS & ELECTRICAL ENGINEERING, cilt.87, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 87
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.compeleceng.2020.106780
  • Dergi Adı: COMPUTERS & ELECTRICAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Anahtar Kelimeler: Localization, Mission-critical applications, Positioning technologies, Smart cities, IoT, RESPONDERS, SYSTEMS
  • Akdeniz Üniversitesi Adresli: Evet

Özet

The accessibility of accurate location information for operators in mission-critical scenarios would considerably increase their mission success. In order to obtain precise location information, numerous algorithms and technologies have been suggested. These methods and systems show varying performances under different conditions, and with the help of machine learning techniques, their reliability can be enhanced dramatically. In this paper, we overview the state-of-the-art in emerging algorithms and technologies employing cognitive solutions in mission critical localization applications. We compare these algorithms in terms of different localization parameters such as scalability, power consumption, availability, service quality and accuracy. Consequently, this survey will assist researchers who are working in the area of RF-based localization to achieve better performance in mission critical scenarios that can be experienced in smart city applications. (C) 2020 Elsevier Ltd. All rights reserved.