Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks

Huagang, Xiong; Chen, Zhiyuan; An, Wei; Yang, Beiya

doi:10.1155/2015/598747

Cited by 37 publications

(23 citation statements)

References 19 publications

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“…However, sound waves can have transmission delays and varying transmission rates. The delays make the ToA distance longer than the actual distance, and the longer the real distance, the more the error deviation of the ToA distance [11][12][13]. Equations (2) and (3) simulate the difference between actual distance and ToA distance…”

Section: Centralized Localization Versus Distributed Localizationmentioning

confidence: 99%

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Hybrid Localization Approach for Underwater Sensor Networks

Tsai

Wang

2017

Journal of Sensors

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Underwater Wireless Sensor Networks (UWSNs) are widely used to collect data in the marine environment. Location and time are essential aspects when sensors collect data, particularly in the case of location-aware data. Many studies on terrestrial sensor networks consider sensor locations as the locations where data is collected and focus on sensor positioning when sensors are fixed. However, underwater sensors are mobile networks and the sensor locations change continuously. Localization schemes designed for static sensor networks need to run periodically to update locations and consume considerable sensor power and increase the communication overhead; hence, they cannot be applied to UWSNs. This paper presents a hybrid localization approach with data-location correction, called Data Localization Correction Approach (DLCA), which positions data without additional communication overhead and power consumption on sensors. Without loss of generality, we simulate the ocean environment based on a kinematic model and meandering current mobility model and conduct extensive simulations. Our results show that DLCA can significantly reduce communication costs, while maintaining relatively high localization accuracy.

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Section: Centralized Localization Versus Distributed Localizationmentioning

confidence: 99%

“…This is a reasonable assumption and can be easily justified by existing underwater distance measurement technologies [11][12][13].…”

Section: Simulation Settingsmentioning

confidence: 99%

Hybrid Localization Approach for Underwater Sensor Networks

Tsai

Wang

2017

Journal of Sensors

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“…Xiong et al [7] have developed a technique that assists in performing localization in sensor network. The presented technique has implemented standard Gaussian noise model for estimating the time difference from the detection with the targeted object and the sensors.…”

Section: Related Workmentioning

confidence: 99%

OTSA: Optimized Time Synchronization Approach for Delay-based Energy Efficient Routing in WSN

Nagarathna¹,

Mallapur²

2017

ijacsa

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Abstract-Time Synchronization is one of the problems and still ignored problem in area of wireless sensor network (WSN). After reviewing the existing literatures, it is found that there are few studies that combinely address the problem of energy conservation, clustering, routing along with minimizing the errors due to time synchronization in sensor network. Therefore, this manuscript presents a delay-based routing which considers the propagation delay to formulate a mechanism for delay compensation in large scale wireless sensor network. The prime goal of this technique is to jointly address energy problems, time synchronization, and routing in wireless sensor network. The outcome of the proposed study was found to posse's minimized communication overhead, minimized synchronization errors, lower energy consumption, and reduced processing time when compared with the existing standards of time synchronization techniques.

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“…In turn, [9] described several referencefree localization estimators based on the TOA measurements for a scenario where the anchor nodes are synchronized and the clock of the target node runs freely. The systems described in [10][11][12][13][14][15] are a different group of solutions. All these systems rely on a two-way transmission and/or require additional reference (special) node.…”

Section: Introductionmentioning

confidence: 99%

TDOA versus ATDOA for wide area multilateration system

Stefański

Sadowski

2018

J Wireless Com Network

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This paper outlines a new method of a location service (LCS) in the asynchronous wireless networks (AWNs) where the nodes (base stations) operate asynchronously in relation to one another. This method, called asynchronous time difference of arrival (ATDOA), enables the calculation of the position of the mobile object (MO) through the measurements taken by a set of non-synchronized fixed nodes and is based on the measurement of the virtual distance difference between the reference nodes and the several MO positions (more than two), as well as on the solution of a nonlinear system of equations. The novelty of the proposed solution is using the measurements taken by at least five ground sensors without time synchronization between them to estimate the position of the tracked MO transmitting four or more sounding signals in random time.The new method significantly simplifies the localization process in real-life AWNs. It can be used on its own or to complement the traditional synchronous method. The paper focuses on the description of the proposed ATDOA method, two algorithms TS-LS (Taylor series least-squares) and GA (genetic algorithm) for solving the nonlinear system of equations, example application of the new method for a three-dimensional space, and presentation of the simulation models and simulation results. An important part of the paper is the comparison of the efficiency between the asynchronous method and the synchronous one for wide area multilateration (WAM) system. In addition, the Cramér-Rao lower bound (CRLB) is derived for this problem as a benchmark. The preliminary measurement results obtained by applying the proposed ATDOA method against the background of the synchronous one are presented at the end of the paper. As it could be expected, the synchronous solution gives better results. The synchronous method allows to locate the aircraft within 15 m in about 80% of the time, while the ATDOA method in 74% of the time for the base stations clocked from the reference clocks with the stability equal to 10 −9 , and in 58% of the time for the base stations clocked from the reference clocks with the stability equal to 10 −8 . The new method therefore should not be treated as the improvement of the existing synchronous positioning systems but as a backup solution which allows to keep the LCS systems running even during ground stations synchronization failure.

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Robust TDOA Localization Algorithm for Asynchronous Wireless Sensor Networks

Cited by 37 publications

References 19 publications

Hybrid Localization Approach for Underwater Sensor Networks

Hybrid Localization Approach for Underwater Sensor Networks

OTSA: Optimized Time Synchronization Approach for Delay-based Energy Efficient Routing in WSN

TDOA versus ATDOA for wide area multilateration system

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