An Efficient Localization Method for Mobile Nodes in Wireless Sensor Networks

Authors

  • Zhiyu Qiu College of Mathematics and Information Science, Hebei Normal University
  • Lihong Wu College of Mathematics and Information Science, Hebei Normal University
  • Peixin Zhang College of Mathematics and Information Science, Hebei Normal University

DOI:

https://doi.org/10.3991/ijoe.v13i03.6868

Keywords:

Wireless sensor network, Mobile node, Location algorithm, Monte Carlo Location

Abstract


With the development of electronic technology and communication protocols, wireless sensor network technology is developing rapidly. In a sense, the traditional static wireless sensor network has been unable to meet the needs of new applications. However, the introduction of mobile nodes extends the application of wireless sensor networks, despite the technical challenges. Because of its flexibility, the mobile wireless sensor network has attracted great attention, and even small, self-controlled mobile sensor devices have appeared. At present, mobile node localization has become one of the hotspots in wireless sensor networks. As the storage energy of wireless sensor network nodes is limited, and the communication radius is small, many scientists have focused their research direction on the location algorithm of mobile nodes. According to the continuity principle of mobile node movement, in this paper we propose an improved mobile node localization algorithm based on the Monte Carlo Location (MCL) algorithm, and the method can reduce the sampling interval effectively. First of all, this paper introduces the structure and classification of wireless sensor localization technology. Secondly, the principle of the Monte Carlo Location algorithm is described in detail. Thirdly, we propose an efficient method for mobile node localization based on the MCL algorithm. Finally, the effectiveness and accuracy of the new algorithm are verified by comparative analysis.

Author Biographies

Zhiyu Qiu, College of Mathematics and Information Science, Hebei Normal University

Zhiyu Qiu (1973-), female, born from Wuji of Hebei Province. Now, she is a Lecturer working for Hebei Normal University. She was graduated from the Radio Electronics Department of Sichuan University in 1998. Her research areas include image processing and the application of Internet of things, etc. She undertook or participated in more than 6 provincial level scientific research projects, published over 7 papers in National core journals or international conferences.

Lihong Wu, College of Mathematics and Information Science, Hebei Normal University

Lihong Wu (1970-), female, born from Shijiazhuang of Hebei Province. She was graduated from Computer Science Department of East China Normal University in 1993, and taught in College of Mathematics and Information Science of Hebei Normal University since then. Her research areas include Internet of Things, Wireless sensor, Web Intelligence, etc.

Peixin Zhang, College of Mathematics and Information Science, Hebei Normal University

Peixin Zhang (1973-), female, born from Shijiazhuang of Hebei Province. Now, she is a Lecturer working for Hebei Normal University. She was graduated from Electronics and Information Engineering Department of Hebei University in 1996. Her research areas include the operating system of computer and the Internet of things engineering, etc. She undertook and participated in more than 2 provincial level scientific research projects, published 1 papers in National core journals and 2 books.

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Published

2017-03-28

How to Cite

Qiu, Z., Wu, L., & Zhang, P. (2017). An Efficient Localization Method for Mobile Nodes in Wireless Sensor Networks. International Journal of Online and Biomedical Engineering (iJOE), 13(03), pp. 160–173. https://doi.org/10.3991/ijoe.v13i03.6868

Issue

Vol. 13 No. 03 (2017)

Section

Papers

License

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