A Low-Cost Collaborative Location Scheme with GNSS and RFID for the Internet of Things

Jing, Changfeng; Wang, Shouqing; Wang, Mingshu; Du, Mingyuan; Zhou, Lei; Sun, Tongqing; Wang, Jian

doi:10.3390/ijgi7050180

Cited by 10 publications

(10 citation statements)

References 53 publications

(68 reference statements)

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“…where σ 2 i is the expected value of σ 2 n_i , and ρ i (ρ i ≥ 1) denotes the noise uncertainty coefficient of the environment where the i-th IDE is located. In order to better describe the fluctuation characteristics of noise and the relationship between noise uncertainty and INR wall, we make un i = 10 lg ρ i .…”

Section: System Model and Problem Formulation A System And Signamentioning

confidence: 99%

“…In recent years, the application demand based on global navigation satellite system (GNSS) [1] is growing day by day. Especially after the rapid development of the Internet of Things (IoT) [2], many use cases on the IoT require worldwide positioning enabling applications. Therefore, global positioning support applications have become one of the key technologies that need to be addressed in the era of IoT.…”

Section: Introductionmentioning

confidence: 99%

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A Double Threshold Cooperative GNSS Interference Detection Algorithm Based on Fuzzy Logic

et al. 2020

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In this paper, an interference detection algorithm based on fuzzy logic fusion is proposed for the interference monitoring system (IMS) of the global satellite navigation system (GNSS). In particular, for the problem of reduced detection performance caused by noise fluctuations in a complex electromagnetic environment, the proposed algorithm introduces the idea of fuzzy logic. According to the credibility of local detection results in different regions determined by noise uncertainty, we adopt a two-step cooperative detection mechanism in the fusion center (FC). When a definite detection result is obtained in the first step, the decision is finished. Otherwise, we will execute the decision algorithm based on the fuzzy logic fusion of the second step. The experimental results show that the proposed algorithm has the best detection performance, compared with the traditional energy detection algorithm and the energy detection algorithm based on soft data. Furthermore, compared with soft data, the system overhead of the proposed algorithm is also reduced without increasing the amount of calculation.

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Section: System Model and Problem Formulation A System And Signamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Double Threshold Cooperative GNSS Interference Detection Algorithm Based on Fuzzy Logic

et al. 2020

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“…More recently envisioned solutions include parking management and smart traffic lights as part of a cognitive road management system that handles different types of traffic efficiently (Miz and Hahanov 2014). Jing et al (2018) examined the combination of GNSS localization and RFID tagging for infrastructure asset management with promising results. Additionally, the city of Aarhus in Denmark deployed traffic sensors across major roads in the city, and the information was used by the CityPulse project to provide context-aware recommendations to users for route planning (Puiu et al 2016).…”

Section: Case Studies On Smart Scenariosmentioning

confidence: 99%

Internet of Things

Granell

Kamilaris

Kotsev

et al. 2019

Manual of Digital Earth

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Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things (IoT) emerged as a holistic proposal to enable an ecosystem of varied, heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today's pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efficient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identified synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth. Keywords Internet of Things • Geospatial standards • Smart scenarios The views expressed are purely those of the authors and may not in any circumstances be regarded as stating an official position of the European Commission.

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“…A considerable amount of research on indoor navigation has been published, but the subject is treated separately in different research fields, ranging from engineering (indoor positioning) (e.g., [6][7][8][9][10][11][12][13][14][15]), informatics (indoor modeling) (e.g., [16][17][18][19]), and architectural design (e.g., [20][21][22][23]), to psychology (analysis of spatial-related perceptual and cognitive processes) (e.g., [24][25][26][27][28]). Much of the current literature on navigation systems pays particular attention to the localization or other components of the system, while there has been little discussion about the optimization of route calculations.…”

Section: Introductionmentioning

confidence: 99%

On the Right Track: Comfort and Confusion in Indoor Environments

Vanhaeren

Cock

Lapon

et al. 2020

IJGI

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Indoor navigation systems are not well adapted to the needs of their users. The route planning algorithms implemented in these systems are usually limited to shortest path calculations or derivatives, minimalizing Euclidian distance. Guiding people along routes that adhere better to their cognitive processes could ease wayfinding in indoor environments. This paper examines comfort and confusion perception during wayfinding by applying a mixed-method approach. The aforementioned method combined an exploratory focus group and a video-based online survey. From the discussions in the focus group, it could be concluded that indoor wayfinding must be considered at different levels: the local level and the global level. In the online survey, the focus was limited to the local level, i.e., local environmental characteristics. In this online study, the comfort and confusion ratings of multiple indoor navigation situations were analyzed. In general, the results indicate that open spaces and stairs need to be taken into account in the development of a more cognitively-sounding route planning algorithm. Implementing the results in a route planning algorithm could be a valuable improvement of indoor navigation support.

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A Low-Cost Collaborative Location Scheme with GNSS and RFID for the Internet of Things

Cited by 10 publications

References 53 publications

A Double Threshold Cooperative GNSS Interference Detection Algorithm Based on Fuzzy Logic

A Double Threshold Cooperative GNSS Interference Detection Algorithm Based on Fuzzy Logic

Internet of Things

On the Right Track: Comfort and Confusion in Indoor Environments

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