Regularized least square multi-hops localization algorithm based on DV-Hop for wireless sensor networks

Hend Liouane (), Sana Messous () and Omar Cheikhrouhou
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Hend Liouane: National Engineering School of Monastir, (ENIM) University of Monastir
Sana Messous: National Engineering School of Monastir, (ENIM) University of Monastir
Omar Cheikhrouhou: Taif University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 80, issue 3, No 4, 349-358

Abstract: Abstract Localization is a crucial method applied in Wireless Sensor Networks (WSNs) to determine the geographic position of the sensor nodes in the sensing region. Many existing WSNs applications require location awareness of sensor nodes. Global Positioning System (GPS) is a well-known technique of localization. However, as a WSN is composed of thousands of sensor nodes, the installation of GPS is not available at every node. Nowadays, many localization algorithms are developed to solve the location awareness problem. The Distance Vector-Hop algorithm (DV-Hop) is a well-known technique thanks to its simplicity and its accurate localization results for WSNs. However, the DV-Hop presents some localization accuracy drawbacks. In this paper, we propose an improvement of the DV-Hop algorithm based on Tikhonov regularization method for wireless sensors networks. We verify the validity of the proposed method through experiments. Simulation results confirm that the proposed localization algorithm is better than the original DV-Hop algorithm and some of its improved algorithms with up to 60% in terms of localization accuracy.

Keywords: Wireless sensor networks; Tikhonov regularization; Distance Vector-Hop algorithm; Localization accuracy. (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-022-00897-z

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