Localization algorithm in wireless sensor networks with network mobility

Hong, Sung-Hwa; Kim, Byoung-Kug; Eom, Doo-Seop

doi:10.1109/tce.2009.5373751

Cited by 25 publications

(20 citation statements)

References 8 publications

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“…C.Lim [4] also proposed a real-time indoor WiFi localization system utilizing smart antennas. S.Hong [5] proposed RSSI and traveling distance measurement using acceleration sensors to perform localization for wireless sensor networks. Cricket [6] utilizes radio communication and ultrasonic sounds to estimate the distance.…”

Section: A Traditional Localization Methodsmentioning

confidence: 99%

Enhanced Trajectory Estimation Method for RTLS in Port Logistics Environment

Cho

Kim

Park

et al. 2012

2012 IEEE 14th International Conference on High Performance Computing and Communication &Amp; 2012 IEEE 9th International Confe

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As logistics has grown dramatically, container port terminals become heavily congested in the loading, unloading, and processing of containers into and out of port terminals currently. So, there is a growing need for a design of a location-based smart port terminal. In port terminals, especially, valuable time can be saved by recognizing precisely where the nearest available containers or mobile equipment can be found. A real time locating system (RTLS) is a novel technology which estimates and tracks mobile objects and personal. However, RTLSs in port terminals are likely to include a large of uncertainty, and could not find the location of assets because they can be easily damaged by malicious materials such as steel and water. This paper proposes an enhanced trajectory estimation method for the RTLS in port logistics environment. Basically, the RTLS for the port terminal estimates the location of mobile equipment which includes a large of packet loss and uncertainties. The proposed method corrects inaccurate location information and mitigates uncertainties occurred by the RTLS by adopting interpolation and the Kalman filter. In addition, this paper includes an instance of the RTLS for the port terminal and presents experimental results to prove the superiority of the proposed method.

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Section: A Traditional Localization Methodsmentioning

confidence: 99%

Enhanced Trajectory Estimation Method for RTLS in Port Logistics Environment

Cho

Kim

Park

et al. 2012

2012 IEEE 14th International Conference on High Performance Computing and Communication &Amp; 2012 IEEE 9th International Confe

View full text Add to dashboard Cite

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“…However, since satellite signals do not penetrate buildings adequately, it is not possible for such systems to function in indoor environments, which has led to a variety of proposed methods for indoor localization and tracking in an attempt to provide seamless and ubiquitous services for mobile users [2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Methods based on the measurement of received signal strength (RSS) in RF networks, such as Wi-Fi and Bluetooth networks, for example, have proven to be effective [2][3][4][5][6][7][8][9]. These are low-cost and simple to implement because wireless system receivers commonly possess RSS measurement capabilities.…”

Section: Introductionmentioning

confidence: 99%

Robust indoor localization and tracking using GSM fingerprints

Tian

Denby

Ahriz

et al. 2015

J Wireless Com Network

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The article presents an easy to implement approach for indoor localization and navigation that combines Bayesian filtering with support vector machine classifiers to associate high-dimensionality cellular telephone network received signal strength fingerprints to distinct spatial regions. The technique employs a "space sampling" and a "time sampling" scheme in the training procedure, and the Bayesian filter allows introducing a priori information on room layout and target trajectories, resulting in robust room-level indoor localization.

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“…In actual environment, the sensor nodes are commonly placed in three-dimensional (3D) terrains, such as workshops, forests, and oceans. Recently, several range-based and range-free 3D node localization algorithms in WSNs have been proposed [2][3][4][5][6]. However, some problems should be investigated in node design and implementation, such as large computational amount, slow executing, and inaccurate localization in multipath and noise.…”

Section: Introductionmentioning

confidence: 99%

Fast 3D Node Localization in Multipath for UWB Wireless Sensor Networks Using Modified Propagator Method

Jiang

Liu

Cui

2014

International Journal of Distributed Sensor Networks

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A fast three-dimensional (3D) node localization algorithm in multipath for ultra-wideband (UWB) wireless sensor networks is developed. The algorithm employs a modified propagator method (MPM) for time delay estimation and then uses a marriage algorithm of 3D Chan and Taylor for range-based multilateral localization and node position computation. In the proposed algorithm, the traditional propagator method (PM) for direction-of-arrival (DOA) estimation is extended to frequency-domain time-of-arrival (TOA) estimation in multipath, which can effectively measure the distance between an unknown sensor node and an anchor node. MPM algorithm requires neither spectral searching nor covariance matrix estimation and its eigenvalue decomposition, which reduces the computational complexity. The marriage location algorithm enhances the robustness and accuracy of node localization. The simulations validate the effectiveness of the proposed algorithm in locating multiple unknown nodes of UWB wireless sensor networks in 3D space.

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Localization algorithm in wireless sensor networks with network mobility

Cited by 25 publications

References 8 publications

Enhanced Trajectory Estimation Method for RTLS in Port Logistics Environment

Enhanced Trajectory Estimation Method for RTLS in Port Logistics Environment

Robust indoor localization and tracking using GSM fingerprints

Fast 3D Node Localization in Multipath for UWB Wireless Sensor Networks Using Modified Propagator Method

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