A New Location Sensing Algorithm Based on DV-Hop and Quantum-Behaved Particle Swarm Optimization in WSN

Authors

DOI

https://doi.org/10.52810/TPRIS.2021.100034

Keywords:

Localization Sensing, DV-Hop Algorithm, Average-Hop Distance, QPSO, Localization Error Rate

Abstract

In wireless sensor network, the location sensing of the sensor nodes is important. If there is no location information of the sensor nodes, the perceived data would have no meaning.  In recent years, the range-free location sensing algorithms have got great attention. DV-Hop localization algorithm is one of the important algorithm in range-free location algorithms. It has high efficiency, convenient operation and low energy consumption. However, the localization accuracy cannot meet the requirements in some applications. In this paper, a new localization method is proposed, which is based on DV-Hop and Quantum-behaved Particle Swarm Optimization (QPSO) algorithm. First, it deals with the high influence of average single jumping distance and then modifies the calculation of it in the DV-Hop algorithm. Second, in order to solve the problem of the coordinate optimization in the DV-Hop algorithm, the paper chooses QPSO algorithm to optimize the unknown nodes’ coordinates. Simulation results show that the new method can improve the localization accuracy of the unknown nodes obviously in WSN.

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Author Biographies

Dan Zhang, School of Computer Science and Engineering, Huizhou University, Huizhou 516007, China

Dan Zhang received the B.E. degree in electronic information engineering from the School of Information and Computer Engineering, Northeast Forestry University, Harbin, China, in 2003, and the Ph.D degree in computer system architecture from the School of Computer Science and Technology, Jilin University, Jilin, China, in 2017. She is currently a Professor with the School of Computer Science and Technology in Huizhou University. Her research interests include positioning and routing of wireless sensor networks, underwater robotics, computer vision.

Xiaohuan Zhang, School of Computer Science and Engineering, Huizhou University, Huizhou 516007, China

Xiaohuan Zhang was born in December 1983. She received her Ph.D. degree from Computer science and Technology, Harbin University of science and technology, Harbin, China in 2018. Currently, she is an lecturer in School of Computer Science and Engineering, Huizhou University. Her research interests include enterprise intelligent computing,algorithm analysis.

Hai Qi, Network and Information Centre, Huizhou University, Huizhou 516007, China

Hai Qi   was born in September 1978. He received a bachelor's degree. He graduated from network engineering of Harbin Institute of technology in 2007 and is now an engineer of network and information center of Huizhou University. Her research interests include network engineering, network security and intelligent computing.

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A New Location Sensing Algorithm Based on DV-Hop and Quantum-Behaved Particle Swarm Optimization

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Published

2021-05-29

How to Cite

Zhang, D., Zhang, X., & Qi, H. (2021). A New Location Sensing Algorithm Based on DV-Hop and Quantum-Behaved Particle Swarm Optimization in WSN. ASP Transactions on Pattern Recognition and Intelligent Systems, 1(2), 1–17. https://doi.org/10.52810/TPRIS.2021.100034

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Section

Regular Paper