Next Article in Journal
Swelling-Based Distributed Chemical Sensing with Standard Acrylate Coated Optical Fibers
Previous Article in Journal
Quantitative Study on the Impact of Energy Consumption Based Dynamic Selfishness in MANETs
Open AccessArticle

An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model

1
Department of Electronics and Communications Engineering, Canadian International College (CIC), Cairo 12588, Egypt
2
Department of Electronics and Communications Engineering, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Cairo 11799, Egypt
3
Network Planning Department, National Telecommunication Institute (NTI), Cairo 11432, Egypt
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(3), 719; https://doi.org/10.3390/s21030719
Received: 21 December 2020 / Revised: 16 January 2021 / Accepted: 19 January 2021 / Published: 21 January 2021
(This article belongs to the Section Sensor Networks)
Indoor positioning has become a very promising research topic due to the growing demand for accurate node location information for indoor environments. Nonetheless, current positioning algorithms typically present the issue of inaccurate positioning due to communication noise and interferences. In addition, most of the indoor positioning techniques require additional hardware equipment and complex algorithms to achieve high positioning accuracy. This leads to higher energy consumption and communication cost. Therefore, this paper proposes an enhanced indoor positioning technique based on a novel received signal strength indication (RSSI) distance prediction and correction model to improve the positioning accuracy of target nodes in indoor environments, with contributions including a new distance correction formula based on RSSI log-distance model, a correction factor (Beta) with a correction exponent (Sigma) for each distance between unknown node and beacon (anchor nodes) which are driven from the correction formula, and by utilizing the previous factors in the unknown node, enhanced centroid positioning algorithm is applied to calculate the final node positioning coordinates. Moreover, in this study, we used Bluetooth Low Energy (BLE) beacons to meet the principle of low energy consumption. The experimental results of the proposed enhanced centroid positioning algorithm have a significantly lower average localization error (ALE) than the currently existing algorithms. Also, the proposed technique achieves higher positioning stability than conventional methods. The proposed technique was experimentally tested for different received RSSI samples’ number to verify its feasibility in real-time. The proposed technique’s positioning accuracy is promoted by 80.97% and 67.51% at the office room and the corridor, respectively, compared with the conventional RSSI trilateration positioning technique. The proposed technique also improves localization stability by 1.64 and 2.3-fold at the office room and the corridor, respectively, compared to the traditional RSSI localization method. Finally, the proposed correction model is totally possible in real-time when the RSSI sample number is 50 or more. View Full-Text
Keywords: indoor positioning; RSSI; correction factor; Bluetooth Low Energy; beacon; enhanced centroid positioning algorithm indoor positioning; RSSI; correction factor; Bluetooth Low Energy; beacon; enhanced centroid positioning algorithm
Show Figures

Figure 1

MDPI and ACS Style

Nagah Amr, M.; ELAttar, H.M.; Abd El Azeem, M.H.; El Badawy, H. An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model. Sensors 2021, 21, 719. https://doi.org/10.3390/s21030719

AMA Style

Nagah Amr M, ELAttar HM, Abd El Azeem MH, El Badawy H. An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model. Sensors. 2021; 21(3):719. https://doi.org/10.3390/s21030719

Chicago/Turabian Style

Nagah Amr, Mohammed; ELAttar, Hussein M.; Abd El Azeem, Mohamed H.; El Badawy, Hesham. 2021. "An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model" Sensors 21, no. 3: 719. https://doi.org/10.3390/s21030719

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

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop