A Novel Hybrid RSS and TOA Positioning Algorithm for Multi-Objective Cooperative Wireless Sensor Networks

Huagang, Xiong; Peng, Meixuan; Gong, Shu; Du, Zhenfang

doi:10.1109/jsen.2018.2869762

Cited by 58 publications

(40 citation statements)

References 33 publications

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“…In general, only a number of sensor nodes, called anchor nodes, have their location information known, whereas the others, called target nodes, have their location information unknown, which remains to be determined through localization methods. Most localization methods make use of the noise measurements, such as time of arrival (TOA) [4]- [6], time difference of arrival (TDOA) [7], angle of arrival (AOA) [8], [9], and received signal strength (RSS) [10]- [15] or combinations of them [16]- [26]. Among those, TOA-based and TDOA-based localization requires clock synchronization, AOA-based localization must have an antenna array which increases the cost of hardware, RSS-based localization gradually becomes the primary concern owing to it implementation, but it will fluctuate greatly with the increase of distance.…”

Section: Introductionmentioning

confidence: 99%

3-D RSS-AOA Based Target Localization Method in Wireless Sensor Networks Using Convex Relaxation

Chang

Zheng

et al. 2020

IEEE Access

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This paper addresses a target localization problem in 3-D wireless sensor networks using a hybrid system that fuses received signal strength and angle of arrival measurements. First, we formulate the received signal strength and angle of arrival measurement models as the pseudo-linear equations. Then, the bias is derived from the 3-D angle of arrival measurements that take the measurement noise into account to improve the localization performance. Furthermore, a non-convex estimator is derived based on the Least Squares criterion. Finally, semi-definite relaxation and second-order cone relaxation are applied to transform the derived non-convex estimator into a convex one. We propose a semi-definite relaxation and second-order cone relaxation-based estimator which yields the best performance under a large measurement noise or a small measurement noise. The generalization of the proposed method for known transmit power can also be applied to the case when transmit power is not know. Theoretical analysis and computer simulations corroborate the superior performance of the proposed localization methods over the existing ones. INDEX TERMS Target localization, received signal strength, angle of arrival, convex relaxation.

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Section: Introductionmentioning

confidence: 99%

3-D RSS-AOA Based Target Localization Method in Wireless Sensor Networks Using Convex Relaxation

Chang

Zheng

et al. 2020

IEEE Access

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“…This algorithm is very popular for applications in medicine [ 19 ] but also has application in unmanned aerial vehicle navigation [ 20 ]. Close in meaning to ToF is the algorithm ToA (Time of Arrival), which is based on distance calculation by measuring the signal transit time from the mobile terminal to the base station as the difference between the time the signal was sent and received [ 21 , 22 , 23 , 24 ]. The algorithm ToA is often used with TDoA (Time Difference of Arrival) [ 25 ] and FDoA (Frequency difference of arrival) [ 26 ], which are also often used together [ 27 , 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

Method for Remote Determination of Object Coordinates in Space Based on Exact Analytical Solution of Hyperbolic Equations

Kuptsov

Badenko

Ivanov

et al. 2020

Sensors

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Accurate remote determination of the object coordinates in 3D space is one of the main questions in many applications. In one of the most popular methods, such determination of the location of an object uses the measurement by receiving an electromagnetic signal transmitted by several spatially distributed base stations (BS). The main problem is that it is necessary to reduce errors and computation time. To overcome these difficulties, an analytical method for determining the position of an object based on the analysis of time difference of arrival (TDoA) of signals from the transmitter of the object to the receivers of the BS is proposed. One of the main advantages of this method is that it is possible to eliminate the ambiguity in determining the coordinates of the object in space and to increase the accuracy of determining the coordinates when the TDoA measurement between base stations fluctuates. Applications for autonomous automotive vehicles and spacebased positioning systems are analyzed. The results obtained show that the proposed algorithm has an accuracy of determining coordinates several times higher than the method of linearization of hyperbolic equations and is less sensitive to TDoA fluctuations at base stations.

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“…Localization plays one of the most important roles in WSNs. This is because a large number of operations of WSNs require the accurate localization of the individual nodes as a priori information to know where the metrics were measured [7]- [12]. Although global positioning systems (GPSs) are well-known methods for source localization, the accuracy provided by GPS is not always sufficient in harsh environments (e.g., urban canyons and indoor scenes).…”

Section: Introductionmentioning

confidence: 99%

“…However, it is not easy to find the locations of tags because the range measurements present a nonlinear function with the coordinates of tags. In general, many combined rangingbased localization algorithms seem to improve the localization accuracy compared with the single technique due to the requirements (e.g., clock synchronization and antenna array) [12], [34]- [36]. In [12], a novel hybrid RSS and TOA positioning method is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…In general, many combined rangingbased localization algorithms seem to improve the localization accuracy compared with the single technique due to the requirements (e.g., clock synchronization and antenna array) [12], [34]- [36]. In [12], a novel hybrid RSS and TOA positioning method is proposed. The authors combine RSS and TOA technologies with the path loss difference (PLD) when considering the multi-objective cooperative networks, outperforming both the conventional RSS and TOA algorithms.…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid Localization Algorithm Based on TOF and TDOA for Asynchronous Wireless Sensor Networks

et al. 2019

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Accuracy and energy consumption are two crucial assessment standards for localization systems. The positioning algorithm used in a single technique may not balance the accuracy and power problem due to its limitations. Moreover, the performance of the existing combined localization method is unsatisfactory. In this paper, taking the relative clock skew into account, we investigate the biased time-of-flight (TOF) compensation problem in the symmetric double-sided two-way ranging (SDS-TWR) method. We first estimate the relative clock skew among sensor nodes to improve the accuracy of the ranging result. We then combine with the time-difference-of-arrival (TDOA) algorithm and reduce the number of transmissions and receptions on the tag (a node that needs to be located) side. Finally, the tag location is determined by Newton's iteration method. A simulation is implemented to validate our theoretical analysis and the results show that our proposed hybrid localization algorithm improves the locating accuracy significantly, compared with that of the C-TDOA method. Furthermore, the proposed hybrid localization algorithm can overcome the shortcoming of high power cost in the conventional TOF-based algorithm. INDEX TERMS Wireless sensor network, hybrid localization algorithm, time-difference-of-arrival (TDOA), time-of-flight (TOF), clock skew estimation.

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A Novel Hybrid RSS and TOA Positioning Algorithm for Multi-Objective Cooperative Wireless Sensor Networks

Cited by 58 publications

References 33 publications

3-D RSS-AOA Based Target Localization Method in Wireless Sensor Networks Using Convex Relaxation

3-D RSS-AOA Based Target Localization Method in Wireless Sensor Networks Using Convex Relaxation

Method for Remote Determination of Object Coordinates in Space Based on Exact Analytical Solution of Hyperbolic Equations

A Hybrid Localization Algorithm Based on TOF and TDOA for Asynchronous Wireless Sensor Networks

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