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Article

Improved Recursive DV-Hop Localization Algorithm with RSSI Measurement for Wireless Sensor Networks

1
Research Laboratory of Automatic Signal and Image Processing (LARATSI), National Engineering School of Monastir (ENIM), 5019 Monastir, Department of Electrical Engineering, University of Monastir, Monastir, Tunisia
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Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
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Electrical Engineering, Faculty of Engineering, Moncton University, Moncton, NB E1A3E9, Canada
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Research Department, International Institute of Technology (IIT), 1.5 Mharsa Route, Sfax, Tunisia
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School of Electrical Engineering, Depatrment of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa
*
Author to whom correspondence should be addressed.
Academic Editor: Zahir M. Hussain
Sensors 2021, 21(12), 4152; https://doi.org/10.3390/s21124152
Received: 17 March 2021 / Revised: 23 May 2021 / Accepted: 24 May 2021 / Published: 17 June 2021
(This article belongs to the Special Issue Sensors and Autonomous Systems in Smart Cities)
As localization represents the main backbone of several wireless sensor networks applications, several localization algorithms have been proposed in the literature. There is a growing interest in the multi-hop localization algorithms as they permit the localization of sensor nodes even if they are several hops away from anchor nodes. One of the most famous localization algorithms is the Distance Vector Hop (DV-Hop). Aiming to minimize the large localization error in the original DV-Hop algorithm, we propose an improved DV-Hop algorithm in this paper. The distance between unknown nodes and anchors is estimated using the received signal strength indication (RSSI) and the polynomial approximation. Moreover, the proposed algorithm uses a recursive computation of the localization process to improve the accuracy of position estimation. Experimental results show that the proposed localization technique minimizes the localization error and improves the localization accuracy. View Full-Text
Keywords: localization; multi-hop algorithms; localization accuracy; DV-Hop; RSSI; online sequential computation localization; multi-hop algorithms; localization accuracy; DV-Hop; RSSI; online sequential computation
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MDPI and ACS Style

Messous, S.; Liouane, H.; Cheikhrouhou, O.; Hamam, H. Improved Recursive DV-Hop Localization Algorithm with RSSI Measurement for Wireless Sensor Networks. Sensors 2021, 21, 4152. https://doi.org/10.3390/s21124152

AMA Style

Messous S, Liouane H, Cheikhrouhou O, Hamam H. Improved Recursive DV-Hop Localization Algorithm with RSSI Measurement for Wireless Sensor Networks. Sensors. 2021; 21(12):4152. https://doi.org/10.3390/s21124152

Chicago/Turabian Style

Messous, Sana, Hend Liouane, Omar Cheikhrouhou, and Habib Hamam. 2021. "Improved Recursive DV-Hop Localization Algorithm with RSSI Measurement for Wireless Sensor Networks" Sensors 21, no. 12: 4152. https://doi.org/10.3390/s21124152

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