SHEN Shikai, YANG Bin, QIAN Kaiguo, SHE Yumei, WANG Wu. On Improved DV-Hop Localization Algorithm for Accurate Node Localization in Wireless Sensor Networks[J]. Chinese Journal of Electronics, 2019, 28(3): 658-666. doi: 10.1049/cje.2019.03.013
Citation: SHEN Shikai, YANG Bin, QIAN Kaiguo, SHE Yumei, WANG Wu. On Improved DV-Hop Localization Algorithm for Accurate Node Localization in Wireless Sensor Networks[J]. Chinese Journal of Electronics, 2019, 28(3): 658-666. doi: 10.1049/cje.2019.03.013

On Improved DV-Hop Localization Algorithm for Accurate Node Localization in Wireless Sensor Networks

doi: 10.1049/cje.2019.03.013
Funds:  This work was supported by the Yunnan Applied Basic Research Project, Scientific and Technological Innovation Team of IOT Application Technology of Kunming(No.2016-2-R-07793), Scientific Research and Innovation Team of Kunming University based on IOT Technology(No.2015CXTD04), the Anhui NSF (No.1808085MF165), the Anhui Province Department of Human Resources and Social Security for the Returned Overseas Chinese Scholars, the Chuzhou University (No.zrjz2017003), and the Science and Technology Project of Sichuan Province (No.2017JY0049).
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  • Corresponding author: YANG Bin (corresponding author) received his B.S. and M.S. Degrees both in computer science from Shihezi University, China, in 2004 and from China University of Petroleum, Beijing Campus, in 2007, and Ph.D. degree in systems information science from Future University Hakodate, Japan in 2015, respectively. He is currently an associate professor at the School of Computer and Information Engineering, Chuzhou University, China. His research interests include performance modeling and evaluation, stochastic optimization and control in wireless networks.(Email:yangbinchi@gmail.com)
  • Received Date: 2017-10-10
  • Publish Date: 2019-05-10
  • Node Localization is a fundamental issue for many critical applications in Wireless sensor networks (WSNs). Traditional DV-Hop localization algorithm and corresponding improved ones still cannot provide sufficient localization accuracy in such WSNs. To ensure accurate localization, this paper proposes an improved Distancevector-Hop (DV-Hop) localization algorithm. Under such an algorithm, we determine a corrected average hopdistance of beacon nodes by employing the differences between actual and estimated distance among beacon nodes in WSNs. We propose a probability information based selective strategy for the selection of beacon nodes. Based on these selected beacon nodes, we adopt a two dimensional hyperbolic function to predict the locations of unknown nodes. Simulation results are provided to illustrate the localization accuracy of our algorithm compared with traditional DV-Hop algorithm and its two improved algorithms in WSNs.
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