Next Article in Journal
Development of an Optimised Chinese Dome Digester Enables Smaller Reactor Volumes; Pilot Scale Performance
Next Article in Special Issue
DNN-Assisted Cooperative Localization in Vehicular Networks
Previous Article in Journal
Self-Sustained Turn-Off Oscillation of SiC MOSFETs: Origin, Instability Analysis, and Prevention
Previous Article in Special Issue
Hybrid TOA Trilateration Algorithm Based on Line Intersection and Comparison Approach of Intersection Distances
Article Menu
Issue 11 (June-1) cover image

Export Article

Open AccessArticle

Robust Localization for Robot and IoT Using RSSI

Division of Electrical, Electronic communication and Computer Engineering, Chonnam National University, Yeosu 59626, Korea
Energies 2019, 12(11), 2212;
Received: 24 April 2019 / Revised: 2 June 2019 / Accepted: 6 June 2019 / Published: 11 June 2019
(This article belongs to the Special Issue Wireless Communication Systems for Localization)
PDF [7674 KB, uploaded 11 June 2019]
  |     |  


Node-localization technology has been supported in the wireless sensor network (WSN) environment. Node localization is based on a few access-point (AP) nodes that comprises positioning information because they are fixed, and a beacon node that comprises unknown positioning information because it is moving. To determine the position of the unknown node, it must use two or three APs that comprise certain positioning information. There are a number of representative range-based methods, including time of arrival (TOA), weighted centroid locating algorithm, received signal strength intensity (RSSI), and time difference of arrival (TDOA) signal, that are received by the receiver. The RSSI method has its advantages. A simple device structure means that the RSSI method is easy to use. Because the structures of previous wireless local area network (LAN) technologies make them compatible with RSSI information, the RSSI method is widely used in the related area of position tracking. In addition, this algorithm has a hardware system that cannot be increased, has the advantage of the miniaturization of the node, and can wear through obstacles. This paper proposes the application of a robust ranging method that can be applied in robots and Internet of Things (IoT) using RSSI, especially in the tracing location of each nursing home patient, where the RSSI method with trilateral technique is used. This paper shows the results of the measured point from the application of the trilateral technique, and it also represents the results of the error distance between the ideal point and the measured point using computer simulation. Finally, this paper presents an estimation of localization using a real experimental device with a BLE (Bluetooth low-energy) transmitter and receiver, and beacon gateway, by applying an RSSI algorithm with the trilateral technique. View Full-Text
Keywords: node localization; RSSI; IoT; robot; received signal strength intensity node localization; RSSI; IoT; robot; received signal strength intensity

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Bae, Y. Robust Localization for Robot and IoT Using RSSI. Energies 2019, 12, 2212.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top