Relevant bibliographies by topics / Wireless positioning systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Wireless positioning systems'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Wireless positioning systems"

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Ali, Wisam Hasan, Amnah Abas Kareem, and Manal Jasim. "Survey on Wireless Indoor Positioning Systems." Cihan University-Erbil Scientific Journal 3, no. 2 (August 20, 2019): 42–47. http://dx.doi.org/10.24086/cuesj.v3n2y2019.pp42-47.

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Indoor positioning has finally testified a rise in interest, thanks to the big selection of services it is provided, and ubiquitous connectivity. There are currently many systems that can locate a person, be it wireless or by mobile phone and the most common systems in outdoor environments is the GPS, the most common in indoor environments is Wi-Fi positioning technique positioning. The improvement of positioning systems in indoor environments is desirable in many areas as it provides important facilities and services, such as airports, universities, factories, hospitals, and shopping malls. This paper provides an overview of the existing methods based on wireless indoor positioning technique. We focus in this survey on the strengths of these systems mentioned in the literature discordant with the present surveys; we also assess to additionally measure various systems from the scene of energy efficiency, price, and following accuracy instead of comparing the technologies, we also to additionally discuss residual challenges to correct indoor positioning.
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Bai, Lu, Chenglie Du, and Jinchao Chen. "Weighted K-nearest Neighbor Fast Localization Algorithm Based on RSSI for Wireless Sensor Systems." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 2 (April 27, 2020): 295–301. http://dx.doi.org/10.2174/2352096512666191024170807.

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Background: Wireless positioning is one of the most important technologies for realtime applications in wireless sensor systems. This paper mainly studies the indoor wireless positioning algorithm of robots. Methods: The application of the K-nearest neighbor algorithm in Wi-Fi positioning is studied by analyzing the Wi-Fi fingerprint location algorithm based on Received Signal Strength Indication (RSSI) and K-Nearest Neighbor (KNN) algorithm in Wi-Fi positioning. The KNN algorithm is computationally intensive and time-consuming. Results: In order to improve the positioning efficiency, improve the positioning accuracy and reduce the computation time, a fast weighted K-neighbor correlation algorithm based on RSSI is proposed based on the K-Means algorithm. Thereby achieving the purpose of reducing the calculation time, quickly estimating the position distance, and improving the positioning accuracy. Conclusion: Simulation analysis shows that the algorithm can effectively shorten the positioning time and improve the positioning efficiency in robot Wi-Fi positioning.
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Liu, Hui, Houshang Darabi, Pat Banerjee, and Jing Liu. "Survey of Wireless Indoor Positioning Techniques and Systems." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 37, no. 6 (November 2007): 1067–80. http://dx.doi.org/10.1109/tsmcc.2007.905750.

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Seok, Keun Young, Jong Yeol Ryu, and Jung Hoon Lee. "Risk-Aware Wireless Positioning in Maritime Environment." Applied Sciences 9, no. 10 (May 23, 2019): 2107. http://dx.doi.org/10.3390/app9102107.

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The evolution of wireless communications systems has promoted various applications that require user positions in various environments including indoor, maritime and aerial environments. This progress has also brought advanced wireless location tracking (i.e., positioning) schemes for many purposes such as military, accident prevention and facility management. In this paper, we propose a risk-aware wireless positioning scheme, where the position information is required for safety. Especially for the maritime environment, we model the risk of the user at each position as a function of location accuracy, geometry, ocean current speed and so forth. Considering the power budget of each user, we optimize the user’s wireless positioning signal frequency (i.e., the positioning signal broadcasting rate) at each position so that our positioning scheme can minimize the average risk for each user.
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Du, Lei, Nan Liu, Rui Fang, Nan Li, and Xiang Hui Song. "A Cooperative Positioning Scheme Based on Beam-Forming for Intelligent Transportation Systems." Advanced Materials Research 945-949 (June 2014): 3255–59. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3255.

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Cooperative positioning (CP) originating in wireless sensor networks (WSN) is expected to enhance the accuracy of real-time positioning by exchanging location related information in vehicular network via wireless communication. A novel CP system based on beam-forming for vehicular networks is proposed by this work. Its application includes several roadside units equipped with a kind of transceiver based on an special dual-transmitter outphasing architecture which are utilized to broadcast the spatial directivity and correct receive angle information to vehicles with onboard wireless communication units in desired areas. The goal of enhancement positioning via vehicle-to-infrastructure communication can be acquired by a data fusion means based on the extended Kalman filter when GNSS is available and a cooperative solution based on the least-squares method under the condition that the global navigation satellite system (GNSS) is available respectively. The main process of positioning and all the key technical points of the system's application are modeled and analyzed mathematically. And the results of computer simulation confirm the technical practicability for the proposed method.
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Duque Domingo, Jaime, Carlos Cerrada, Enrique Valero, and J. A. Cerrada. "Indoor Positioning System Using Depth Maps and Wireless Networks." Journal of Sensors 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/2107872.

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This work presents a newIndoor Positioning System(IPS) based on the combination ofWiFi Positioning System(WPS) anddepth maps, for estimating the location of people. The combination of both technologies improves the efficiency of existing methods, based uniquely on wireless positioning techniques. While other positioning systems force users to wear special devices, the system proposed in this paper just requires the use ofsmartphones, besides the installation of RGB-D sensors in the sensing area. Furthermore, the system is not intrusive, being not necessary to know people’s identity. The paper exposes the method developed for putting together and exploiting both types of sensory information with positioning purposes: the measurements of the level of the signal received from different access points (APs) of the wireless network and thedepth mapsprovided by the RGB-D cameras. The obtained results show a significant improvement in terms of positioning with respect to common WiFi-based systems.
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Gilski, Przemysław, and Jacek Stefański. "Survey of Radio Navigation Systems." International Journal of Electronics and Telecommunications 61, no. 1 (March 1, 2015): 43–48. http://dx.doi.org/10.1515/eletel-2015-0006.

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Abstract At present, there is a growing demand for radio navigation systems, ranging from pedestrian navigation to consumer behavior analysis. These systems have been successfully used in many applications and have become very popular in recent years. In this paper we present a review of selected wireless positioning solutions operating in both indoor and outdoor environments. We describe different positioning techniques, methods, systems, as well as information processing mechanisms
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Fu, Pei Hua, and An Ding Zhu. "A High Speed Stacker Regulating Algorithm Based on Wireless Sensor Network." Advanced Materials Research 562-564 (August 2012): 1256–59. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1256.

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An indoor positioning technique combined with wireless sensor network, RFID and photoelectric sensor is introduced into high speed stacker positioning and speed regulating systems. Compared to high precision retroreflective laser ranging sensors, the combined positioning technique can provide absolute addressing with low cost to speed up stackers. An optimization of frequency conversion motor with absolute addressing can increase improve turnover rate and reduce energy consumption of AS/RS systems.
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Cai, Wen Yang, and Gao Yong Luo. "Autocorrelation Phase Measurement of Spread Spectrum Signal for High Precision Indoor Microwave Positioning." Applied Mechanics and Materials 734 (February 2015): 31–39. http://dx.doi.org/10.4028/www.scientific.net/amm.734.31.

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The increasing demand for high precision indoor positioning in many public services has urged research to implement cost-effective systems for a rising number of applications. However, current systems with either short-range positioning technology based on wireless local area networks (WLAN) and ZigBee achieving meter-level accuracy, or ultra-wide band (UWB) and 60 GHz communication technology achieving high precision but with high cost required, could not meet the need of indoor wireless positioning. This paper presents a new method of high precision indoor positioning by autocorrelation phase measurement of spread spectrum signal utilizing carrier frequency lower than 1 GHz, thereby decreasing power emission and hardware cost. The phase measurement is more sensitive to the distance of microwave transmission than timing, thus achieving higher positioning accuracy. Simulation results demonstrate that the proposed positioning method can achieve high precision of less than 1 centimeter decreasing when various noise and interference added.
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Alaydrus, Mudrik, and Thomas Eibert. "Effects of Antenna Characteristics in RFID Systems for Positioning Purposes." Jurnal Telekomunikasi dan Komputer 1, no. 1 (December 1, 2009): 38. http://dx.doi.org/10.22441/incomtech.v1i1.247.

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Radio Frequency Identification (RFID) is a wireless system designed to identify the presence of objects attached by tags. In recent times, RFID is also used for positioning purposes. We show a scenario of wireless propagation observed by eight antennas with different polarization located in different positions. In this way, the antenna characteristics, i.e. the polarization and diagram radiation of the antennas will play a significant role in producing electromagnetic field in the region. In this work we will use the fingerprinting procedure, with this we produce some data bases containing the electric field received by RFID readers if we located the RFID tag in certain position in region of interest. In this work, two cost functions are proposed, which are to be minimized for determining the position of the tag.
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Dissertations / Theses on the topic "Wireless positioning systems"

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Hadzic, Senka. "Cooperative positioning for heterogeneous wireless systems." Doctoral thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/12851.

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Doutoramento em Engenharia Electrotécnica
Future emerging market trends head towards positioning based services placing a new perspective on the way we obtain and exploit positioning information. On one hand, innovations in information technology and wireless communication systems enabled the development of numerous location based applications such as vehicle navigation and tracking, sensor networks applications, home automation, asset management, security and context aware location services. On the other hand, wireless networks themselves may bene t from localization information to improve the performances of di erent network layers. Location based routing, synchronization, interference cancellation are prime examples of applications where location information can be useful. Typical positioning solutions rely on measurements and exploitation of distance dependent signal metrics, such as the received signal strength, time of arrival or angle of arrival. They are cheaper and easier to implement than the dedicated positioning systems based on ngerprinting, but at the cost of accuracy. Therefore intelligent localization algorithms and signal processing techniques have to be applied to mitigate the lack of accuracy in distance estimates. Cooperation between nodes is used in cases where conventional positioning techniques do not perform well due to lack of existing infrastructure, or obstructed indoor environment. The objective is to concentrate on hybrid architecture where some nodes have points of attachment to an infrastructure, and simultaneously are interconnected via short-range ad hoc links. The availability of more capable handsets enables more innovative scenarios that take advantage of multiple radio access networks as well as peer-to-peer links for positioning. Link selection is used to optimize the tradeo between the power consumption of participating nodes and the quality of target localization. The Geometric Dilution of Precision and the Cramer-Rao Lower Bound can be used as criteria for choosing the appropriate set of anchor nodes and corresponding measurements before attempting location estimation itself. This work analyzes the existing solutions for node selection in order to improve localization performance, and proposes a novel method based on utility functions. The proposed method is then extended to mobile and heterogeneous environments. Simulations have been carried out, as well as evaluation with real measurement data. In addition, some speci c cases have been considered, such as localization in ill-conditioned scenarios and the use of negative information. The proposed approaches have shown to enhance estimation accuracy, whilst signi cantly reducing complexity, power consumption and signalling overhead.
As tendências nos mercados emergentes caminham na direção dos serviços baseados em posicionamento, criando uma nova perspectiva na forma como podemos obter e utilizar informação de posicionamento. Por um lado, as inovações em tecnologias da informação e sistemas de comunicação sem fios permitiram o desenvolvimento de inúmeras aplicações baseadas em localização, tais como a navegação e monitorização de veículo, aplicações de redes de sensores, domótica, gestão de ativos, segurança e serviços de localização sensíveis ao contexto. Por outro lado, as próprias redes sem fios podem beneficiar da informação de localização dos utilizadores de forma a melhorarem as performances de diferentes camadas de rede. Routing baseado em localização, sincronização e cancelamento de interferência são os exemplos mais representativos de áreas onde a informação de localização pode ser útil. Soluções de localização típicas dependem de medições e de aproveitamento de métricas de sinal dependentes da distância, tais como a potência do sinal recebido, o tempo ou ângulo de chegada. São mais baratos e fáceis de implementar do que sistemas de localização dedicados com base em fingerprinting, com a desvantagem da perda de precisão. Consequentemente, algoritmos inteligentes de localização e técnicas de processamento de sinal têm de ser aplicados para compensar a falta de precisão das estimativas de distância. A cooperação entre nodos é usada nos casos em que as técnicas convencionais de posicionamento não têm um bom desempenho devido à inexistência de infraestrutura adequada, ou a um ambiente interior com obstruções. O objetivo é ter uma arquitetura híbrida, onde alguns nós têm pontos de ligação a uma infraestrutura e simultaneamente estão interligados através ligações ad-hoc de curto alcance. A disponibilidade de equipamentos mais capazes permite cenários mais inovadores que tiram proveito de múltiplas redes de acesso de rádio, bem como ligações peer-to-peer, para o posicionamento. A seleção de ligações é usada para otimizar o equilíbrio entre o consumo de energia dos nós participantes e da qualidade da localização do alvo. A diluição geométrica de precisão e a Cramér Rao Lower Bound podem ser utilizadas como critrio para a escolha do conjunto adequado de nodos de ancoragem e as medições correspondentes antes de realizar a tarefa de estimativa de localizaçãoo. Este trabalho analisa as soluções existentes para a seleção de nós, a fim de melhorar o desempenho de localização e propõe um novo método baseado em funções de utilidade. O método proposto é então estendido para ambientes móveis e heterogéneos. Foram realizadas simulações bem como avaliação de dados de medições reais. Além disso, alguns casos específicos foram considerados, tais como a localização em cenários mal-acondicionados e uso de informação negativa. As abordagens propostas revelaram uma melhoria na precisão da estimação, ao mesmo tempo que reduziram significativamente a complexidade do cálculo, o consumo de energia e o overhead do sinal.
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Sehloho, Nobaene Elizabeth. "An indoor positioning system using multiple methods and tools." Thesis, Cape Peninsula University of Technology, 2015. http://hdl.handle.net/20.500.11838/2288.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2015.
Recently, the deployment and availability of wireless technology have led to the development of location and positioning services. These Location Based Services (LBSs) are attracting the attention of researchers and mobile service providers. With the importance of ubiquitous computing, the main challenge seen in the LBS is in the mobile positioning or localization within reasonable and certain accuracy. The Global Positioning System (GPS), as a widely known and used navigation system, is only appropriate for use in outdoor environments, due to the lack of line-of-sight (LOS) in satellite signals that they cannot be used accurately inside buildings and premises. Apart from GPS, Wi-Fi is among others, a widely used technology as it is an already existing infrastructure in most places. This work proposes and presents an indoor positioning system. As opposed to an Ad-hoc Positioning System (APS), it uses a Wireless Mesh Network (WMN). The system makes use of an already existing Wi-Fi infrastructure. Moreover, the approach tests the positioning of a node with its neighbours in a mesh network using multi-hopping functionality. The positioning measurements used were the ICMP echo requests, RSSI and RTS/CTS requests and responses. The positioning method used was the trilateral technique, in combination with the idea of the fingerprinting method. Through research and experimentation, this study developed a system which shows potential as a positioning system with an error of about 2 m – 3 m. The hybridization of the methods proves an enhancement in the system though improvements are still required
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Pricope, Bogdan [Verfasser]. "Positioning using terrestrial wireless systems / Bogdan Pricope." Bremen : IRC-Library, Information Resource Center der Jacobs University Bremen, 2013. http://d-nb.info/1037014111/34.

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Reyes, Omar Costilla. "Dynamic WIFI Fingerprinting Indoor Positioning System." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699843/.

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A technique is proposed to improve the accuracy of indoor positioning systems based on WIFI radio-frequency signals by using dynamic access points and fingerprints (DAFs). Moreover, an indoor position system that relies solely in DAFs is proposed. The walking pattern of indoor users is classified as dynamic or static for indoor positioning purposes. I demonstrate that the performance of a conventional indoor positioning system that uses static fingerprints can be enhanced by considering dynamic fingerprints and access points. The accuracy of the system is evaluated using four positioning algorithms and two random access point selection strategies. The system facilitates the location of people where there is no wireless local area network (WLAN) infrastructure deployed or where the WLAN infrastructure has been drastically affected, for example by natural disasters. The system can be used for search and rescue operations and for expanding the coverage of an indoor positioning system.
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Cheng, King-yip, and 鄭勁業. "Localization in wireless sensor networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38700189.

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Wang, Wenye. "Location management techniques for next generation wireless systems." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/13289.

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Parikh, Hemish K. "An RF system design for an ultra wideband indoor positioning system." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-031108-203800/.

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Shum, Chin Yiu. "Detecting, locating, and tracking mobile user within a wireless local area network." HKBU Institutional Repository, 2013. http://repository.hkbu.edu.hk/etd_ra/1512.

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Tran, Huy Phuong. "Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems." PDXScholar, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/5009.

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Large enterprises are often interested in tracking objects and people within buildings to improve resource allocation and occupant experience. Infrastructure-based indoor positioning systems (IIPS) can provide this service at low-cost by leveraging already deployed Wi-Fi infrastructure. Typically, IIPS perform localization and tracking of devices by measuring only Wi-Fi signals at wireless access points and do not rely on inertial sensor data at mobile devices (e.g., smartphones), which would require explicit user consent and sensing capabilities of the devices. Despite these advantages, building an economically viable cost-effective IIPS that can accurately and simultaneously track many devices over very large buildings is difficult due to three main challenges. First, Wi-Fi signal measurements are extremely noisy due to unpredictable multipath propagation and signal attenuation. Second, as the IIPS obtain measurements in a best effort manner without requiring any applications installed on a tracked device, the measurements are temporally sparse and non-periodic, which makes it difficult to exploit historical measurements. Third, the cost-effective IIPS have limited computational resources, in turn limiting scalability in terms of the number of simultaneously tracked devices. Prior approaches have narrowly focused on either improving the accuracy or reducing the complexity of localization algorithms. To compute the location at the current time step, they typically use only the latest explicit Wi-Fi measurements (e.g., signal strengths). The novelty of our approach lies in considering contexts of a device that can provide useful indications of the device's location. One such example of context is device motion. It indicates whether or not the device's location has changed. For a stationary device, the IIPS can either skip expensive device localization or aggregate noisy, temporally sparse location estimates to improve localization accuracy. Another example of context applicable to a moving device is a floor map that consists of pre-defined path segments that a user can take. The map can be leveraged to constrain noisy, temporally sparse location estimates on the paths. The thesis of this dissertation is that embedding context-aware capabilities in the IIPS enhances its performance in tracking many devices simultaneously and accurately. Specifically, we develop motion detection and map matching to show the benefits of leveraging two critical contexts: device motion and floor map. Providing motion detection and map matching is non-trivial in the IIPS where we must rely only on data from the Wi-Fi infrastructure. This thesis makes two contributions. First, we develop feature-based and deep learning-based motion detection models that exploit temporal patterns in Wi-Fi measurements across different access points to classify device motion in real time. Our extensive evaluations on datasets from real Wi-Fi deployments show that our motion detection models can detect device motion accurately. This, in turn, allows the IIPS to skip repeated location computation for stationary devices or improve the accuracy of localizing these devices. Second, we develop graph-based and image-based map matching models to exploit floor maps. The novelty of the graph-based approach lies in applying geometric and topological constraints to select which path segment to align the current location estimate. Our graph-based map matching can align a location estimate of a user device on the path taken by the user and close to the user's current location. The novelty of the image-based approach lies in representing for the first time, input data including location estimates and the floor map as 2D images. This novel representation enables the design, development, and application of encoder-decoder neural networks to exploit spatial relationships in input images to potentially improve location accuracy. In our evaluation, we show that the image-based approach can improve location accuracy with large simulated datasets, compared to the graph-based approach. Together, these contributions enable improvement of the IIPS in its ability to accurately and simultaneously track many devices over large buildings.
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Sakpere, Wilson Evuarherhe. "A near field communication framework for indoor navigation : design and deployment considerations." Thesis, Cape Peninsula University of Technology, 2015. http://hdl.handle.net/20.500.11838/2290.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2015.
Navigation systems are known to provide time and location information for easy and accurate navigation in a specified environment. While Global Positioning System (GPS) has recorded a considerable success for navigating outdoors, the absence of GPS indoors has made orientation in an indoor environment challenging. Furthermore, existing technologies and methods of indoor positioning and navigation, such as WLAN, Bluetooth and Infrared, have been complex, inaccurate, expensive and challenging to implement; thereby limiting the usability of these technologies in less developed countries. This limitation of navigation services makes it difficult and time consuming to locate a destination in indoor and closed spaces. Hence, recent works with Near Field Communication (NFC) has kindled interest in positioning and navigation. While navigating, users in less developed nations face several challenges, such as infrastructure complexity, high-cost solution, inaccuracy and usability. However, this research focuses on providing interventions to alleviate usability challenges, in order to strengthen the overall accuracy and the navigation effectiveness in stringent environments through the experiential manipulation of technical attributes of the positioning and navigation system in indoor environments. Therefore, this study adopted the realist ontology and the positivist epistemological approach. It followed a quantitative and experimental method of empirical enquiry, and software engineering and synthesis research methods. The study entails three implementation processes, namely map generation, positioning framework and navigation service using a prototype mobile navigation application that uses the NFC technology. It used open-source software and hardware engineering tools, instruments and technologies, such as Ubuntu Linux, Android Software Development Kit, Arduino, NFC APIs and PandaBoard. The data was collected and the findings evaluated in three stages: pre-test, experiment and post-test.
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Books on the topic "Wireless positioning systems"

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Sand, Stephan, Armin Dammann, and Christian Mensing. Positioning in Wireless Communications Systems. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118694114.

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Armin, Dammann, and Mensing Christian, eds. Positioning in wireless communications systems. Chichester, West Sussex: Wiley, 2014.

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Tekinay, Sirin. Next generation wireless networks. New York: Kluwer Academic Publishers, 2002.

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1967-, Tekinay Sirin, ed. Next generation wireless networks. Boston: Kluwer Academic Publishers, 2001.

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Bensky, Alan. Wireless positioning technologies and applications. Boston, Mass: Artech House, 2008.

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Bensky, Alan. Wireless positioning technologies and applications. Boston, Mass: Artech House, 2008.

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Mautz, Rainer. Indoor positioning technologies. Zürich: Schweizerische Geodätische Kommission, 2012.

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N, Plataniotis Konstantinos, and Venetsanopoulos, A. N. (Anastasios N.), 1941-, eds. WLAN positioning systems: Principles and applications in location-based services. Cambridge: Cambridge University Press, 2012.

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Simone, Frattasi, ed. Mobile positioning and tracking: From conventional to cooperative techniques. Chichester, West Sussex, U.K: Wiley, 2010.

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United, States Congress Senate Committee on Commerce Science and Transportation Subcommittee on Communications Technology and the Internet. Locating 911 callers in a wireless world: Hearing before the Subcommittee on Communications, Technology, and the Internet of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Thirteenth Congress, second session, January 16, 2014. Washington: U.S. Government Printing Office, 2014.

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Book chapters on the topic "Wireless positioning systems"

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Sand, Stephan. "Hybridization with Localization Information from Wireless Communications Systems." In GALILEO Positioning Technology, 169–208. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-1830-2_8.

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Huang, Wei-qing, Chang Ding, Si-ye Wang, Junyu Lin, Shao-yi Zhu, and Yue Cui. "Design and Realization of an Indoor Positioning Algorithm Based on Differential Positioning Method." In Wireless Algorithms, Systems, and Applications, 546–58. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60033-8_47.

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Fidanova, Stefka, Miroslav Shindarov, and Pencho Marinov. "Wireless Sensor Positioning Using ACO Algorithm." In Recent Contributions in Intelligent Systems, 33–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41438-6_3.

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Chen, Yi, Yong Wang, Wei He, Qing Jiang, and Mu Zhou. "A Pseudorange Difference Positioning Algorithm for Automatic Driving." In Wireless and Satellite Systems, 218–25. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19153-5_22.

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Zhang, Jiahao, Ming Zhang, Zuoliang Yin, Zhian Deng, and Weijian Si. "WiFi CSI Fingerprinting Positioning Based on User Rotation." In Wireless and Satellite Systems, 265–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19153-5_27.

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Chen, Huafeng, Qingshui Xue, Fengying Li, Huajun Zhang, Zhenfu Cao, and Jianwen Hou. "Multi-proxy Multi-signature Binding Positioning Protocol." In Wireless Algorithms, Systems, and Applications, 9–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21837-3_2.

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Ou, Zhonghong, Jun Wu, and Antti Ylä-Jääski. "Big-Little-Cell Based “Handprint” Positioning System." In Wireless Algorithms, Systems, and Applications, 417–26. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21837-3_41.

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Bejuri, Wan Mohd Yaakob Wan, Wan Mohd Nasri Wan Muhamad Saidin, Mohd Murtadha Bin Mohamad, Maimunah Sapri, and Kah Seng Lim. "Ubiquitous Positioning: Integrated GPS/Wireless LAN Positioning for Wheelchair Navigation System." In Intelligent Information and Database Systems, 394–403. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36546-1_41.

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Cong, Haifeng, Liangbo Xie, and Mu Zhou. "An Adaptive Fingerprint Database Updating Scheme for Indoor Bluetooth Positioning." In Wireless and Satellite Systems, 141–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19153-5_13.

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Zekavat, Seyed A. Reza, Stuti Kansal, and Allen H. Levesque. "Wireless Positioning Systems: Operation, Application, and Comparison." In Handbook of Position Location, 3–23. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch1.

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Conference papers on the topic "Wireless positioning systems"

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Shindarov, Miroslav, Stefka Fidanova, and Pencho Marinov. "Wireless sensor positioning algorithm." In 2012 6th IEEE International Conference Intelligent Systems (IS). IEEE, 2012. http://dx.doi.org/10.1109/is.2012.6335171.

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Marcu, Marius, Sebastian Fuicu, Anania Girban, and Mircea Popa. "Experimental Test Cases for Wireless Positioning Systems." In EUROCON 2007 - The International Conference on "Computer as a Tool". IEEE, 2007. http://dx.doi.org/10.1109/eurcon.2007.4400377.

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Foster, Robert N., Max Munoz, and Yang Hao. "RF positioning using body-centric wireless systems." In Propagation Conference (LAPC). IEEE, 2011. http://dx.doi.org/10.1109/lapc.2011.6114118.

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Sagiraju, Phani K., Praveen Gali, David Akopian, and G. V. S. Raju. "Enhancing Security in Wireless Networks Using Positioning Techniques." In 2007 IEEE International Conference on System of Systems Engineering. IEEE, 2007. http://dx.doi.org/10.1109/sysose.2007.4304268.

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"MULTI-HOP POSITIONING - Relative Positioning Method for GPS Wireless Sensor Network." In International Conference on Pervasive and Embedded Computing and Communication Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003798503610368.

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Yang, Depeng, Husheng Li, Gregory D. Peterson, and Aly Fathy. "Compressive sensing TDOA for UWB positioning systems." In 2011 IEEE Radio and Wireless Symposium (RWS). IEEE, 2011. http://dx.doi.org/10.1109/rws.2011.5725485.

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Woznica, Przemyslaw, Lukasz Kulas, and Krzysztof Nyka. "Reliable testbed for indoor positioning systems." In 2012 19th International Conference on Microwaves, Radar & Wireless Communications (MIKON 2012). IEEE, 2012. http://dx.doi.org/10.1109/mikon.2012.6233475.

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Hadzic, Senka, and Jonathan Rodriguez. "Cooperative Positioning for Heterogeneous Wireless Systems: Proposed Framework." In 2010 6th International Conference on Wireless and Mobile Communications (ICWMC). IEEE, 2010. http://dx.doi.org/10.1109/icwmc.2010.26.

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Hann, Swook, Soo-Yong Jung, and Chang-Soo Park. "Optical Wireless Positioning Systems Using LED Ceiling Lights." In 3rd International Conference on Electric and Electronics. Paris, France: Atlantis Press, 2013. http://dx.doi.org/10.2991/eeic-13.2013.51.

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"Node Positioning - Application for Wireless Networks Industrial Plants." In 14th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004095402910294.

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