4.7 Article

Collaborative Sensor Network Localization: Algorithms and Practical Issues

期刊

PROCEEDINGS OF THE IEEE
卷 106, 期 6, 页码 1089-1114

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2018.2829439

关键词

5G; collaborative localization; cooperative localization; DOA; IoT; localization; sensor networks; sensor network localization; ranging; TOA

资金

  1. National Science Foundation [0515019, 0802112]
  2. Bradley Foundation
  3. European Union (EU) H2020 project HIGHTS (High Precision Positioning for Cooperative ITS Applications) [MG-3.5a-2014-636537]
  4. European Union (EU) H2020 project 5GCAR
  5. VINNOVA COPPLAR project under Strategic Vehicle Research and Innovation [2015-04849]
  6. Direct For Computer & Info Scie & Enginr
  7. Division of Computing and Communication Foundations [0515019] Funding Source: National Science Foundation
  8. Div Of Electrical, Commun & Cyber Sys
  9. Directorate For Engineering [0802112] Funding Source: National Science Foundation

向作者/读者索取更多资源

Emerging communication network applications including fifth-generation (5G) cellular and the Internet-of-Things (IoT) will almost certainly require location information at as many network nodes as possible. Given the energy requirements and lack of indoor coverage of Global Positioning System (GPS), collaborative localization appears to be a powerful tool for such networks. In this paper, we survey the state of the art in collaborative localization with an eye toward 5G cellular and IoT applications. In particular, we discuss theoretical limits, algorithms, and practical challenges associated with collaborative localization based on range-based as well as range-angle-based techniques.

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