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ZHOU Liang, XIAO Ting-ting, LI Guang-jun. Node Localization Based on Trust Region Algorithm in Wireless Sensor Networks[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(5): 674-677. doi: 10.3969/j.issn.1001-0548.2014.05.007
Citation: ZHOU Liang, XIAO Ting-ting, LI Guang-jun. Node Localization Based on Trust Region Algorithm in Wireless Sensor Networks[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(5): 674-677. doi: 10.3969/j.issn.1001-0548.2014.05.007
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Node Localization Based on Trust Region Algorithm in Wireless Sensor Networks

doi: 10.3969/j.issn.1001-0548.2014.05.007
  • 1.

    School of Communication and Information Engineering,University of Electronic Science and Technology of China Chengdu 611731

  • Received Date: 2013-12-20
  • Rev Recd Date: 2014-04-10
  • Publish Date: 2014-10-15
  • In traditional localization methods based on distance measurement in wireless sensor networks, a lot of optimization algorithms are employed to improve the precision of location. However, the optimization performance may degrade because of the low SNR environment and the non-Gaussian noise distribution. To overcome this problem, the trust region (TR) algorithm based on the conic model is employed for iterative localization. The cone model is used for approximating the objective function of localization, and the optimization process is converted into a series of optimization sub-problems. Simulation results show that the TR based method acquires better performance, especially in low SNR environment.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Node Localization Based on Trust Region Algorithm in Wireless Sensor Networks

doi: 10.3969/j.issn.1001-0548.2014.05.007
  • 1. School of Communication and Information Engineering,University of Electronic Science and Technology of China Chengdu 611731
  • Received Date: 2013-12-20
  • Rev Recd Date: 2014-04-10
  • Publish Date: 2014-10-15

Abstract: In traditional localization methods based on distance measurement in wireless sensor networks, a lot of optimization algorithms are employed to improve the precision of location. However, the optimization performance may degrade because of the low SNR environment and the non-Gaussian noise distribution. To overcome this problem, the trust region (TR) algorithm based on the conic model is employed for iterative localization. The cone model is used for approximating the objective function of localization, and the optimization process is converted into a series of optimization sub-problems. Simulation results show that the TR based method acquires better performance, especially in low SNR environment.

ZHOU Liang, XIAO Ting-ting, LI Guang-jun. Node Localization Based on Trust Region Algorithm in Wireless Sensor Networks[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(5): 674-677. doi: 10.3969/j.issn.1001-0548.2014.05.007
Citation: ZHOU Liang, XIAO Ting-ting, LI Guang-jun. Node Localization Based on Trust Region Algorithm in Wireless Sensor Networks[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(5): 674-677. doi: 10.3969/j.issn.1001-0548.2014.05.007
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