NMTLAT: A New robust mobile Multi-Target Localization and Tracking Scheme in marine search and rescue wireless sensor networks under Byzantine attack

Xian, Jiangfeng; Wu, Huafeng; Mei, Xiaojun; Zhang, Yuanyuan; Chen, Huixing; Wang, Jim

doi:10.1016/j.comcom.2020.06.034

Cited by 13 publications

(8 citation statements)

References 42 publications

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“…Then, the horizontal component of geomagnetism and the geomagnetic dip are used to aid positioning approaches [30,31]. In addition, geomagnetism is often used in combination with other technologies to further improve positioning results, such as gyroscopes, accelerometers, and Wi-Fi [23].…”

Section: Related Workmentioning

confidence: 99%

“…Specifically, it is necessary to consider such factors as the environmental impact of the technologies, costs, ease of development and maturity of the technologies. Therefore, for improving the location accuracy, integrating the multi-sensor information with sensor fusion approaches of positioning systems is a worth-study strategic issue [5,8,9,23,24].…”

Section: Introductionmentioning

confidence: 99%

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Research on calibration‐free fingerprinting positioning techniques based on terrestrial magnetism databases for indoor environments

Yeh

Lai

Tsai

et al. 2022

IET Radar Sonar & Navi

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Location‐based services (LBSs) in such indoor places as museums, airport terminals, and train stations are becoming more and more popular among smartphone users. Hence, the research on indoor positioning technologies is increasing. Indoor positioning technologies using Wi‐Fi or Bluetooth wireless signals have some problems that cannot be overcome, for example, inconsistent data caused by human body shadowing effects. Positioning accuracy and stability still need to be improved to provide higher quality LBS applications. Smartphones have built‐in geomagnetic and acceleration sensors, and the Earth's magnetic field is not affected by human body shadowing effects, so it increases the appeal of using geomagnetism to enable indoor positioning with smartphones. This article proposed approaches in light of calibration‐free fingerprinting positioning techniques with terrestrial magnetism databases for indoor environments. For the differences in measurements yielded by various mobile phone (MP) models and brands, adjustments can be made using the ratio of the total intensity of the magnetic field and its horizontal component to correct the discrepancies. Finally, with the arrangement of four landmarks, the average error distance of the research results in the experimental environment is 3.59 m. The average accuracy of the k‐nearest neighbour (k‐NN) mobile phones is 71.3%.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on calibration‐free fingerprinting positioning techniques based on terrestrial magnetism databases for indoor environments

Yeh

Lai

Tsai

et al. 2022

IET Radar Sonar & Navi

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“…The ocean is vast, covering 140 million square miles, some 72 percent of the Earth’s surface, one of the most valuable natural resources that attract people to explore [ 1 ]. As an efficient tool for exploration, underwater wireless sensor networks (UWSNs) have played a pivotal role in a vast number of scientific or commercial missions in civilian and military applications [ 2 , 3 , 4 , 5 , 6 , 7 ]. It is worth noting that the data collected by sensors are meaningful only when the latter are geo-referenced [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…The general system architecture of UWSNs is shown in Figure 1 . With the knowledge of some internode distances (ranges), the targets’ position would be determined, and thus a considerable body of research has been investigated in the literature regarding localization in UWSNs [ 4 , 6 , 7 , 8 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

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An Absorption Mitigation Technique for Received Signal Strength-Based Target Localization in Underwater Wireless Sensor Networks

Mei

Saeed

et al. 2020

Sensors

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Localization is an indispensable technology for underwater wireless sensor networks (UWSNs). In what concerns UWSNs, the accurate location information is not only the requirement of the marine field applications but also the basis of the other corresponding research, for instance, network routing and topology control. Recently, an astonishing surge of interest has been drawn in the received signal strength (RSS)-based scheme due to cost-effectiveness and synchronization-free compared with others. However, unlike the terrestrial wireless sensor networks (WSNs), the acoustic signal may suffer the absorption loss in the underwater environment besides the path loss, which degrades the localization accuracy and limits the capability of the RSS-based technology in UWSNs. In this context, a robust localization method with an absorption mitigation technique (AMT) is developed. First, an RSS-based analytically tractable measurement model is conducted, where the maximum likelihood estimator (MLE) is derived. Nevertheless, it is quite challenging to solve the problem using MLE under a non-convex expression. Therefore, by exploiting certain approximations, the considered localization problem is converted into an optimization expression with a maximum absorption loss involved. A min–max strategy is then presented, with which the problem is turned to minimize the worst situation of the absorption loss. After a simple manipulation, the problem is further investigated as a generalized trust region sub-problem (GTRS) framework. Although the GTRS is a non-convex scheme, the solution can be obtained through an iteration method by introducing a multiplier. In addition, the closed-form expression of the Cramer–Rao lower bound (CRLB) of the analytically tractable measurement model is derived. Numerical simulations demonstrate the effectiveness of the proposed method compared with the state-of-the-art approaches in different scenarios.

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Real-time RSS-based target localization for UWSNs using an IDE-BP neural network

Zhang,

Wu,

Gulliver

et al. 2024

J Supercomput

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NMTLAT: A New robust mobile Multi-Target Localization and Tracking Scheme in marine search and rescue wireless sensor networks under Byzantine attack

Cited by 13 publications

References 42 publications

Research on calibration‐free fingerprinting positioning techniques based on terrestrial magnetism databases for indoor environments

Research on calibration‐free fingerprinting positioning techniques based on terrestrial magnetism databases for indoor environments

An Absorption Mitigation Technique for Received Signal Strength-Based Target Localization in Underwater Wireless Sensor Networks

Real-time RSS-based target localization for UWSNs using an IDE-BP neural network

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