Relevant bibliographies by topics / Location-aware computing

Academic literature on the topic 'Location-aware computing'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Location-aware computing"

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Patterson, C. A., R. R. Muntz, and C. M. Pancake. "Challenges in location-aware computing." IEEE Pervasive Computing 2, no. 2 (April 2003): 80–89. http://dx.doi.org/10.1109/mprv.2003.1203757.

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Ackerman, Mark S., Tao Dong, Scott Gifford, Jungwoo Kim, Mark W. Newman, Atul Prakash, Sarah Qidwai, et al. "Location-Aware Computing, Virtual Networks." IEEE Pervasive Computing 8, no. 4 (October 2009): 28–32. http://dx.doi.org/10.1109/mprv.2009.78.

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Banerjee, S., S. Agarwal, K. Kamel, A. Kochut, C. Kommareddy, T. Nadeem, P. Thakkar, et al. "Rover: scalable location-aware computing." Computer 35, no. 10 (October 2002): 46–53. http://dx.doi.org/10.1109/mc.2002.1039517.

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Huber, Manuel, Benjamin Becker, and Gudrun Klinker. "Location aware computing using RFID infrastructure." International Journal of Autonomous and Adaptive Communications Systems 3, no. 1 (2010): 23. http://dx.doi.org/10.1504/ijaacs.2010.030310.

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Anthony, Denise, Tristan Henderson, and David Kotz. "Privacy in Location-Aware Computing Environments." IEEE Pervasive Computing 6, no. 4 (October 2007): 64–72. http://dx.doi.org/10.1109/mprv.2007.83.

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Hazas, M., J. Scott, and J. Krumm. "Location-aware computing comes of age." Computer 37, no. 2 (February 2004): 95–97. http://dx.doi.org/10.1109/mc.2004.1266301.

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Sashima, Akio, Noriaki Izumi, and Koichi Kurumatani. "Location‐aware middle agents in pervasive computing." International Journal of Pervasive Computing and Communications 2, no. 2 (May 2007): 149–62. http://dx.doi.org/10.1108/17427370780000149.

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Want, R., and B. Schilit. "Expanding the horizons of location-aware computing." Computer 34, no. 8 (August 2001): 31–34. http://dx.doi.org/10.1109/mc.2001.940010.

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Gupta, Ajay Kumar, and Udai Shanker. "A Literature Review of Location-Aware Computing Policies." International Journal of Mobile Human Computer Interaction 12, no. 3 (July 2020): 21–45. http://dx.doi.org/10.4018/ijmhci.2020070102.

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Location-aware computing systems implementation has the challenge of maintaining its consistency due to frequent disconnections in the mobile environment. Many other exciting issues associated with this domain provide a fertile ground for many mobile database researchers to tackle. This work contributes by taking up-to-date literature on current location-aware mobile data management practices. The paper includes taxonomy for caching, map-matching, and location privacy protection with spatial-temporal queries, unlike other review papers, which only address a specific aspect of location-dependent data management. First, an in-depth analysis of state-of-the-art and classified literature is presented, taking into account the domain of application models and approaches for evaluation. Secondly, it provides a theoretical and analytical investigation of location-conscious computing approaches available in the literature, examining the merit and demerit of each method and the evolving processes between them. Finally, the paper highlighted the outstanding opportunities for future research directions.
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Souza, Paulo S., Tiago C. Ferreto, Fabio D. Rossi, and Rodrigo N. Calheiros. "Location-Aware Maintenance Strategies for Edge Computing Infrastructures." IEEE Communications Letters 26, no. 4 (April 2022): 848–52. http://dx.doi.org/10.1109/lcomm.2022.3150243.

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Dissertations / Theses on the topic "Location-aware computing"

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Bell, Jason Murray 1980. "An API for location aware computing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16960.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 89-90).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Indoor, location-aware devices have the potential to provide extremely useful resource and building information to human users; for example, a location-aware PDA could potentially provide map information in real time. We have developed a complete, extensible, indoor location-aware API to allow clients to interact with building and resource data stored on a central server. We have designed our own data model, emphasizing a space's adjacency relationships to other spaces as the most important relational characteristic. Route finding is a fundamental algorithm for the exploration of such a data model; we investigated, implemented, and evaluated several such algorithms. Furthermore, we have implemented both a server and several clients, demonstrating the robustness and reliability of the API. The API's most complex client, the CampusMap application, runs on a commodity graphics workstation and allows a user to interact with a full, three-dimensional model of campus. CampusMap generates lowest-cost routes between any campus location by interacting with a Location Server, visualizing campus spaces, and instantly updating route results.
by Jason Murray Bell.
M.Eng.
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Luimula, M. (Mika). "Development and evaluation of the location-aware platform:main characteristics in adaptable location-aware systems." Doctoral thesis, University of Oulu, 2010. http://urn.fi/urn:isbn:9789514261435.

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Abstract The development of mobile and ubiquitous computing has recently been rapid. One of the most promising research and development fields has been location-aware services. These services are challenging as they require a lot of resources for generating maps from spatial data and for visualizing temporary data gathered from the environment. Applying location-awareness and ubiquitous computing in the industry is currently under intensive research and development activities especially because of signs of promising new business opportunities. This thesis studies the development and evaluation of a location-aware system platform called Locawe designed for indoor and outdoor conditions. This decentralized middleware-based platform has been developed at CENTRIA Research and Development, Ylivieska. The main objectives of this research have been primarily to study and develop new ubiquitous features for the Locawe platform with various software and hardware combinations. In addition, during these studies gathered experiences have been used in order to design new versions of the Locawe architecture. These ubiquitous features, covering the use of GPS, RFID and WSAN technologies, have been tested in five field experiments, one laboratory experiment and several industrial pilots. In these evaluations, the author has considered what software and hardware alternatives are feasible and appropriate for improving the newly developed features in the Locawe platform. These features have been evaluated from usability, visualization and communication techniques perspective. As a result the author presents in this thesis main characteristics in location-aware system development from system layers, ubiquitous computing, mobility, and restrictions perspective. The author also suggests that the architeture presented in this thesis enables location-aware system development in indoor and outdoor conditions. With respect of state-of-the-art platforms, the Locawe platform is, at the moment, in some sense unique, although only as a research prototype. This platform combines two approaches, namely research on location platforms, and research on geosensor networks or smart environments. In addition, this platform gives one answer how RFID or WSAN technologies could be integrated under one framework together with mobile devices. Finally, the author also proposes that the research and development approach presented in this thesis can be applied successfully in research and development organizations specialized in applied research
Tiivistelmä Mobiilin ja sulautetun tietotekniikan kehitys on ollut viime aikoina nopeaa. Yksi lupaavimmista tutkimus- ja kehityskohteista on ollut paikkatietoiset palvelut. Näiden palveluiden kehittäminen on varsin haasteellista, koska kehittämistyö vaatii runsaasti resursseja sekä karttojen generoimisessa paikkatietoaineistoista että ympäristöstä kerättävän väliaikaisen tiedon visualisoinnissa. Paikkatietoisten sovellusten ja sulautetun tietotekniikan soveltaminen teollisuudessa on aktiivisen tutkimus- ja kehittämistoiminnan keskiössä, koska näköpiirissä on selvästi uusia lupaavia liiketoimintamahdollisuuksia. Tässä väitöskirjassa keskitytään Locawe-nimisen paikkatietoisen ohjelmistoalustan kehittämisen ja arvioinnin raportointiin. Locawe-alusta on suunniteltu sekä sisä- että ulko-olosuhteisiin. Tämä hajautettu väliohjelmistopohjainen alusta on kehitetty CENTRIA Tutkimus ja kehityksen Ylivieskan yksikössä. Väitöskirjan tavoitteena on ollut ensisijaisesti tutkia ja kehittää uusia, sulautettua tietotekniikkaa hyödyntäviä ominaisuuksia Locawe-alustaan hyödyntäen erilaisia ohjelmisto- ja laitteistokombinaatioita. Väitöskirjaan liittyvän tutkimustyön aikana käyttäjiltä on useaan otteeseen kerätty käyttökokemuksia. Kokemuksia on hyödynnetty Locawe-arkkitehtuurin seuraavien versioiden suunnittelussa. Uusia, sulautettua tietotekniikkaa hyödyntäviä ominaisuuksia on testattu kaikkiaan viidessä kenttätestissä, yhdessä laboratoriotestissä sekä useissa teollisissa piloteissa. Ominaisuuksien toteuttamisessa käytettiin GPS-, RFID- ja WSAN-teknologioita. Testeissä kirjoittaja arvioi, minkälaiset ohjelmisto- ja laitteistovaihtoehdot ovat toteuttamiskelpoisimpia ja soveliaimpia uusien ominaisuuksien kehittämiseksi Locawe-alustaan. Ominaisuuksia on arvioitu käytettävyyden, visualisoinnin ja viestintätekniikoiden näkökulmista. Tutkimustyön tuloksena kirjoittaja esittelee väitöskirjassa paikkatietoisten järjestelmien kehittämiseen liittyviä ominaispiirteitä järjestelmätasojen, sulautetun tietotekniikan, mobiliteetin ja rajoitteiden näkökulmista. Lisäksi kirjoittaja esittää väitöskirjassa arkkitehtuurin, joka mahdollistaa paikkatietoisen järjestelmän kehittämisen soveltuen niin sisä- kuin ulko-olosuhteisiin. Huomioiden paikkatietoisten alustojen tason maailmanlaajuisesti väitöskirjassa kuvattu Locawe-alusta on tutkimusprototyyppinäkin tällä hetkellä tietyssä määrin ainutlaatuinen. Alustan tutkimisessa on nimittäin keskitytty sekä paikkatietoisten alustojen että geosensoriverkkojen ja älykkäiden ympäristöjen tutkimiseen. Lisäksi Locawe-alusta tarjoaa yhden ratkaisun RFID ja WSAN teknologioiden integrointiin yhdeksi kehykseksi yhdessä mobiililaitteiden kanssa. Lopuksi kirjoittaja esittää, että väitöskirjassa esitetty tutkimus- ja kehittämistoiminnan lähestymistapaa voidaan soveltaa vastaavissa tutkimusorganisaatioissa kuin CENTRIA
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Sankaran, Hariharan. "System level energy optimization for location aware computing." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001343.

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Michalakis, Nikolaos 1978. "Location-aware access control for pervasive computing environments." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29698.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 69-73).
In pervasive computing environments certain applications are interested in a user's location in order to provide a service. Such applications would benefit from an architecture that enables users to prove their location prior to requesting a service. We present PA C, an architecture for location-aware access control in pervasive computing environments, where users authenticate their location in order to gain access to resources. PAC preserves user anonymity and uses lightweight security. We evaluate our architecture with respect to its security and its scalability as the number of resources and users increase.
by Nikolaos Michalakis.
M.Eng.
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Kang, Jong Hee. "Location-aware information access through wireless networks /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6878.

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Han, Hao. "Towards Secure, Power-Efficient and Location-Aware Mobile Computing." W&M ScholarWorks, 2014. https://scholarworks.wm.edu/etd/1539623634.

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In the post-PC era, mobile devices will replace desktops and become the main personal computer for many people. People rely on mobile devices such as smartphones and tablets for everything in their daily lives. A common requirement for mobile computing is wireless communication. It allows mobile devices to fetch remote resources easily. Unfortunately, the increasing demand of the mobility brings many new wireless management challenges such as security, energy-saving and location-awareness. These challenges have already impeded the advancement of mobile systems. In this dissertation we attempt to discover the guidelines of how to mitigate these problems through three general communication patterns in 802.11 wireless networks. We propose a cross-section of a few interesting and important enhancements to manage wireless connectivity. These enhancements provide useful primitives for the design of next-generation mobile systems in the future.;Specifically, we improve the association mechanism for wireless clients to defend against rogue wireless Access Points (APs) in Wireless LANs (WLANs) and vehicular networks. Real-world prototype systems confirm that our scheme can achieve high accuracy to detect even sophisticated rogue APs under various network conditions. We also develop a power-efficient system to reduce the energy consumption for mobile devices working as software-defined APs. Experimental results show that our system allows the Wi-Fi interface to sleep for up to 88% of the total time in several different applications and reduce the system energy by up to 33%. We achieve this while retaining comparable user experiences. Finally, we design a fine-grained scalable group localization algorithm to enable location-aware wireless communication. Our prototype implemented on commercial smartphones proves that our algorithm can quickly locate a group of mobile devices with centimeter-level accuracy.
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Daruwala, Yohann. "A Constructive Memory Architecture for Context Awareness." Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/2250.

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Context-aware computing is a mobile computing paradigm in which applications can discover, use, and take advantage of contextual information, such as the location, tasks and preferences of the user, in order to adapt their behaviour in response to changing operating environments and user requirements. A problem that arises is the inability to respond to contextual information that cannot be classified into any known context. Many context-aware applications require all discovered contextual information to exactly match a type of context, otherwise the application will not react responsively. The ability to learn and recall contexts based on the contextual information discovered has not been very well addressed by previous context-aware applications and research. The aim of this thesis is to develop a component middleware technology for mobile computing devices for the discovery and capture of contextual information, using the situated reasoning concept of constructive memory. The research contribution of this thesis lies in developing a modified architecture for context-aware systems, using a constructive memory model as a way to learn and recall contexts from previous experiences and application interactions. Using a constructive memory model, previous experiences can be induced to construct potential contexts, given a small amount of learning and interaction. The learning process is able to map the many variations of contextual information currently discovered by the user with a predicted type of context based on what the application has stored and seen previously. It only requires a small amount of contextual information to predict a context, something common context-aware systems lack, as they require all information before a type of context is assigned. Additionally, some mechanism to reason about the contextual information being discovered from past application interactions will be beneficial to induce contexts for future experiences.
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Daruwala, Yohann. "A Constructive Memory Architecture for Context Awareness." University of Sydney, 2008. http://hdl.handle.net/2123/2250.

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Master of Philosophy (Architecture)
Context-aware computing is a mobile computing paradigm in which applications can discover, use, and take advantage of contextual information, such as the location, tasks and preferences of the user, in order to adapt their behaviour in response to changing operating environments and user requirements. A problem that arises is the inability to respond to contextual information that cannot be classified into any known context. Many context-aware applications require all discovered contextual information to exactly match a type of context, otherwise the application will not react responsively. The ability to learn and recall contexts based on the contextual information discovered has not been very well addressed by previous context-aware applications and research. The aim of this thesis is to develop a component middleware technology for mobile computing devices for the discovery and capture of contextual information, using the situated reasoning concept of constructive memory. The research contribution of this thesis lies in developing a modified architecture for context-aware systems, using a constructive memory model as a way to learn and recall contexts from previous experiences and application interactions. Using a constructive memory model, previous experiences can be induced to construct potential contexts, given a small amount of learning and interaction. The learning process is able to map the many variations of contextual information currently discovered by the user with a predicted type of context based on what the application has stored and seen previously. It only requires a small amount of contextual information to predict a context, something common context-aware systems lack, as they require all information before a type of context is assigned. Additionally, some mechanism to reason about the contextual information being discovered from past application interactions will be beneficial to induce contexts for future experiences.
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Huang, Albert Shuyu. "The use of Bluetooth in Linux and location aware computing." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34105.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 87-89).
The Bluetooth specification describes a robust and powerful technology for short-range wireless communication. Unfortunately, the specification is immense and complicated, presenting a formidable challenge for novice developers. Currently, there is a lack of satisfactory technical documentation describing Bluetooth application development and the parts of the Bluetooth specification that are relevant to software developers. This thesis explains Bluetooth programming in the context of Internet programming and shows how most concepts in Internet programming are easily translated to Bluetooth. It describes how these concepts can be implemented in the GNU/Linux operating system using the BlueZ Bluetooth protocol stack and libraries. A Python extension module is presented that was created to assist in rapid development and deployment of Bluetooth applications. Finally, an inexpensive and trivially deployed infrastructure for location aware computing is presented, with a series of experiments conducted to determine how best to exploit such an infrastructure.
by Albert Shuyu Huang.
S.M.
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Rodríguez, Pupo Luis Enrique. "An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics in Location-aware Games." Doctoral thesis, Universitat Jaume I, 2021. http://hdl.handle.net/10803/671588.

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This thesis presents an analytics platform for calculating spatio-temporal metrics in the context of geogames and context-based applications. It is based on an underlying conceptual model for spatio-temporal metrics, which consists of dimensions and variables to describe spatial and temporal phenomena, metrics functions to calculate application-relevant information and conditions using these data models, and actions to be triggered when certain conditions are met. The analytics platform is implemented as a cloud-based, distributed application that allows developers to define data requirements, collect required (client-generated) data, and define and execute spatio-temporal metrics. It is designed to handle large amounts of (streaming) data and to scale well under increasing amounts of data and metrics computations. The platform is validated in two experiments: a location-aware game for collecting noise data in a city and a mobile application for location-based mental health treatments, which shows its usability, versatility and feasibility in real-world scenario
Esta tesis presenta una plataforma de análisis para calcular métricas espacio-temporales en el contexto de geojuegos y aplicaciones basadas en el contexto. Se basa en un modelo conceptual para métricas espacio-temporales compuesto de dimensiones y variables para describir fenómenos con componentes espaciales y temporales, funciones de métricas para calcular información relevante para la aplicación, y acciones activadas cuando se cumplan ciertas condiciones. La implementación consiste en una aplicación distribuida basada en la nube que permite a los desarrolladores definir los requisitos de datos, recopilarlos en el cliente y ejecutar métricas espacio-temporales. Está diseñada para ser escalable en cuanto a los datos y al cómputo de las métricas. La plataforma está validada en dos experimentos: un geo-juego para recopilar datos de ruido en una ciudad y una aplicación móvil para tratamientos de salud mental basados en la ubicación, que muestra su usabilidad, versatilidad y viabilidad en escenarios del mundo real.
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Books on the topic "Location-aware computing"

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Murat, Aktihanoglu, ed. Location-aware applications. Shelter Island, NY: Manning Publications, 2011.

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Jeffrey, Hightower, Schiele Bernt 1968-, and Strang Thomas 1972-, eds. Location- and context-awareness: Third international symposium, LoCA 2007, Oberpfaffenhofen, Germany, September 20-21, 2007 : proceedings. Berlin: Springer, 2007.

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Saravanan, P. Shanthi, and S. R. Balasundaram. Privacy and Security Challenges in Location Aware Computing. IGI Global, 2021.

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Saravanan, P. Shanthi, and S. R. Balasundaram. Privacy and Security Challenges in Location Aware Computing. IGI Global, 2021.

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Saravanan, P. Shanthi, and S. R. Balasundaram. Privacy and Security Challenges in Location Aware Computing. IGI Global, 2021.

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Saravanan, P. Shanthi, and S. R. Balasundaram. Privacy and Security Challenges in Location Aware Computing. IGI Global, 2021.

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Saravanan, P. Shanthi, and S. R. Balasundaram. Privacy and Security Challenges in Location Aware Computing. IGI Global, 2021.

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Choudhury, Tanzeem, Thomas Strang, and Aaron Quigley. Location and Context Awareness. Springer, 2009.

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(Editor), Mike Hazas, John Krumm (Editor), and Thomas Strang (Editor), eds. Location- and Context-Awareness: Second International Workshop, LoCA 2006, Dublin, Ireland, May 10-11, 2006, Proceedings (Lecture Notes in Computer Science). Springer, 2006.

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(Editor), Thomas Strang, and Claudia Linnhoff-Popien (Editor), eds. Location- and Context-Awareness: First International Workshop, LoCA 2005, Oberpfaffenhofen, Germany, May 12-13, 2005, Proceedings (Lecture Notes in Computer Science). Springer, 2005.

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Book chapters on the topic "Location-aware computing"

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Rehman, Kasim, Frank Stajano, and George Coulouris. "Visually Interactive Location-Aware Computing." In Lecture Notes in Computer Science, 177–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551201_11.

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Marmasse, Natalia, and Chris Schmandt. "Location-Aware Information Delivery withComMotion." In Handheld and Ubiquitous Computing, 157–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-39959-3_12.

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Kubach, Uwe, and Kurt Rothermel. "A Universal, Location-Aware Hoarding Mechanism." In Handheld and Ubiquitous Computing, 377–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48157-5_52.

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Cao, Jiannong, Kwok Ming Chan, Geofffrey Yu-Kai Shea, and Minyi Guo. "Location-Aware Information Retrieval for Mobile Computing." In Embedded and Ubiquitous Computing, 450–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30121-9_43.

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Gao, Longxiang, Tom H. Luan, Bruce Gu, Youyang Qu, and Yong Xiang. "Location-Aware Privacy Preserving in Edge Computing." In Privacy-Preserving in Edge Computing, 65–82. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2199-4_4.

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Yue, Wenjun, Meina Song, Jing Han, and Haihong E. "Location Context Aware Collective Filtering Algorithm." In Pervasive Computing and the Networked World, 788–800. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37015-1_69.

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Scott, James, and Mike Hazas. "User-Friendly Surveying Techniques for Location-Aware Systems." In UbiComp 2003: Ubiquitous Computing, 44–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39653-6_4.

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di Flora, Cristiano, Massimo Ficco, and Stefano Russo. "Supporting Location-Aware Distributed Applications on Mobile Devices." In Applied Parallel Computing. State of the Art in Scientific Computing, 464–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11558958_55.

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Santini, Silvia, Robert Adelmann, Marc Langheinrich, Georg Schätti, and Steven Fluck. "JSense – Prototyping Sensor-Based, Location-Aware Applications in Java." In Ubiquitous Computing Systems, 300–315. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890348_23.

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Khan, Farrukh Aslam, Khi-Jung Ahn, and Wang-Cheol Song. "A New Location-Aware Hierarchical Routing Protocol for MANETs." In Ubiquitous Intelligence and Computing, 519–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16355-5_40.

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Conference papers on the topic "Location-aware computing"

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Uthra, R. Annie, and B. Amutha. "Location Aware Computing for specknet." In 2009 IEEE International Advance Computing Conference (IACC 2009). IEEE, 2009. http://dx.doi.org/10.1109/iadcc.2009.4809078.

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McGuire, Michael, Eugene Hyun, and Mihai Sima. "Location aware computing for academic environments." In Welcome to Mobile Content Quality of Experience. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1577504.1577505.

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Scott, J. "Location-aware computing and intelligent environments." In IEE Seminar on Intelligent Building Environments. IEE, 2005. http://dx.doi.org/10.1049/ic:20050195.

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Petre, Luigia, and Kaisa Sere. "Location-aware resource availability." In 2013 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2013. http://dx.doi.org/10.1109/hpcsim.2013.6641480.

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Xu, Zhengdao, and Hans-Arno Jacobsen. "Efficient constraint processing for location-aware computing." In the 6th international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1071246.1071248.

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Yongning Li, Fang Pu, and Qiying Cao. "Semantic Location-Aware Model for Ubiquitous Computing." In 2008 International Symposium on Information Science and Engineering (ISISE). IEEE, 2008. http://dx.doi.org/10.1109/isise.2008.127.

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Welke, Konstantin, and Klaus Rechert. "Spontaneous privacy-aware location sharing." In 2009 Joint Conferences on Pervasive Computing (JCPC). IEEE, 2009. http://dx.doi.org/10.1109/jcpc.2009.5420154.

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Mackenzie, Joel, Farhana M. Choudhury, and J. Shane Culpepper. "Efficient Location-Aware Web Search." In ADCS '15: The 20th Australasian Document Computing Symposium. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2838931.2838933.

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Xu, Hongyun, Yaohui Zheng, Jian Zeng, and Cheng Xu. "Location-Semantic Aware Privacy Protection Algorithms for Location-Based Services." In 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2018. http://dx.doi.org/10.1109/smartworld.2018.00212.

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Murray, Dianne. "Session details: Location aware systems." In CHI07: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2007. http://dx.doi.org/10.1145/3258897.

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