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Journal articles on the topic 'Mobile Location'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Maslim, martinus, Stephanie Pamela Adithama, and Aldo Purwanto. "Mobile Application for Locating Nearby Garbage Collection Sites." Journal of Applied Research In Computer Science and Information Systems 1, no. 1 (2023): 18–23. http://dx.doi.org/10.61098/jarcis.v1i1.28.

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Human actions produce waste. The placement of garbage cans is an issue in the Special Region of Yogyakarta. The public is often unaware of the location of garbage cans. The Nearest Garbage Sites Search System (SIPTeST) solves an existing problem. The objective of developing SIPTeST is to enable the public to determine the location of the nearest garbage can based on their current location. SIPTeST is based on both mobile and web platforms. The SIPTeST website is constructed with PHP and MySQL. Android Studio is used to build SIPTeST mobile. In addition to using the user's location, the system

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A Pitogo, Vicente, and Rolyn C Daguil. "Location Broadcasting Using Mobile Push Technology." International Journal of Scientific Engineering and Research 6, no. 1 (2018): 64–69. https://doi.org/10.70729/ijser172246.

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Yongqiang, He, Qin Qin, and Jun-peng Wang. "Game Theory Based Location Smoothing in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 03 (2016): 16. http://dx.doi.org/10.3991/ijoe.v12i03.5400.

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Abstract: Location estimation of mobile target is an important research in wireless sensor networks. However, the phenomenon of non line of sight affects the accuracy of location estimating algorithms greatly. In order to improve the accuracy of location estimation of mobile targets, we proposed a game theory based location method algorithm in wireless sensor networks. In the proposed method, we first estimate the initial locations of mobile target with a support vector regression model, and then use game theory to smooth the already estimated locations. In the game model, game based filter an

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M. Zaki, Salim, M. A. Ngadi, Maznah Kamat, and Shukor A. Razak. "A Review of Location Prediction Techniques in Mobile Ad Hoc Networks." Al-Qadisiyah Journal Of Pure Science 25, no. 2 (2020): 17–28. http://dx.doi.org/10.29350/qjps.2020.25.2.974.

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Predicting future locations of mobile objects has received a lot of attention in research due to its importance in mobile ad hoc networks. The precise location of a mobile node is essential in determining the location of the destination node for the purpose of communication. High mobility of nodes and delay in sending current location affect the accuracy of mobile nodes’ locations. Providing accurate location needs well-designed location prediction technique considers a number of factors that assist in retrieving up-to-date locations. This paper reviews available models: mathematical models an

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Vaughan-Nichols, Steven J. "Will Mobile Computing's Future Be Location, Location, Location?" Computer 42, no. 2 (2009): 14–17. http://dx.doi.org/10.1109/mc.2009.65.

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Ula, Mutammimul, Ar Razi Ar Razi, Desvina Yulisda, and Muhammad Fauzan. "APLIKASI SISTEM INFORMASI WEB DESIGN PARIWISATA ACEH DAN JASA PENGINAPAN BERBASIS GIS (GEOGRAPHIC INFORMATION SISTEM)." RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat 5, no. 1 (2022): 44–52. http://dx.doi.org/10.51179/pkm.v5i1.861.

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The purpose of this service is to provide understanding and training of web applications for students to be able to implement web applications into tourism applications. Furthermore, to search for accommodation locations, there are directions for walking using GIS. Furthermore, the GIS application is implemented for locating services on mobile devices and can be accessed via web and mobile networks. The problem with this service is that students do not understand how to make web-based tourism destination applications that produce Location Based Service on web devices and then help to find info

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Et al., Jafaar. "Geolocation Android Mobile Phones Using GSM/UMTS." Baghdad Science Journal 16, no. 1 (2019): 0254. http://dx.doi.org/10.21123/bsj.16.1.(suppl.).0254.

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The proliferation of cellular network enabled users through various positioning tools to track locations, location information is being continuously captured from mobile phones, created a prototype that enables detected location based on using the two invariant models for Global Systems for Mobile (GSM) and Universal Mobile Telecommunications System (UMTS). The smartphone application on an Android platform applies the location sensing run as a background process and the localization method is based on cell phones. The proposed application is associated with remote server and used to track a sm

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Et al., Jafaar. "Geolocation Android Mobile Phones Using GSM/UMTS." Baghdad Science Journal 16, no. 1(Suppl.) (2019): 0254. http://dx.doi.org/10.21123/bsj.2019.16.1(suppl.).0254.

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The proliferation of cellular network enabled users through various positioning tools to track locations, location information is being continuously captured from mobile phones, created a prototype that enables detected location based on using the two invariant models for Global Systems for Mobile (GSM) and Universal Mobile Telecommunications System (UMTS). The smartphone application on an Android platform applies the location sensing run as a background process and the localization method is based on cell phones. The proposed application is associated with remote server and used to track a sm

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Pan, Xiao, and Xiaofeng Meng. "Preserving location privacy without exact locations in mobile services." Frontiers of Computer Science 7, no. 3 (2013): 317–40. http://dx.doi.org/10.1007/s11704-013-2020-y.

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10

Baek, Heon. "Mobile Location-Based Services." International Journal of Mobile Computing and Multimedia Communications 13, no. 1 (2022): 1–17. http://dx.doi.org/10.4018/ijmcmc.297967.

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This study investigated three factors of self-determination theory (SDT) that influence the intrinsic and external motivation of mobile location-based services (M-LBS). This study was conducted on M-LBS users through an online survey, and a total of 308 response data were used for analysis The results showed that the three factors of SDT significantly influenced the extrinsic motivation of M-LBS and only perceived relatedness significantly affected intrinsic motivation. Intrinsic and external motivation had a great influence on attitudes and attitudes. Recognized competency influenced perceive

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Schroth, Georg, Robert Huitl, David Chen, Mohammad Abu-Alqumsan, Anas Al-Nuaimi, and Eckehard Steinbach. "Mobile Visual Location Recognition." IEEE Signal Processing Magazine 28, no. 4 (2011): 77–89. http://dx.doi.org/10.1109/msp.2011.940882.

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Stein, Jennifer, Scott Ruston, and Scott S. Fisher. "Location-Based Mobile Storytelling." International Journal of Technology and Human Interaction 5, no. 1 (2009): 41–50. http://dx.doi.org/10.4018/jthi.2009010104.

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13

Oore, Sageev, Geoffrey E. Hinton, and Gregory Dudek. "A Mobile Robot That Learns Its Place." Neural Computation 9, no. 3 (1997): 683–99. http://dx.doi.org/10.1162/neco.1997.9.3.683.

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We show how a neural network can be used to allow a mobile robot to derive an accurate estimate of its location from noisy sonar sensors and noisy motion information. The robot's model of its location is in the form of a probability distribution across a grid of possible locations. This distribution is updated using both the motion information and the predictions of a neural network that maps locations into likelihood distributions across possible sonar readings. By predicting sonar readings from locations, rather than vice versa, the robot can handle the very nongaussian noise in the sonar se

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S, Dhinesh Kumar, A. Jesudoss, and D. Saravanan. "Privacy Preserving Location Proof Updating System." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 03 (2014): 668–72. https://doi.org/10.5281/zenodo.14715551.

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Location-sensitive service broadcasting on user’s mobile devices to discover the current location. A privacy preserving Location proof updating system(APPLAUS),which does not rely on the wide deployement of network infrastructure or the expensive trusted computing module.In APPLAUS, Bluetooth enabled mobile devices in range mutually generate location proofs,which are uploaded to a untrusted location proof. An authorized verifier can query and retrieve location proofs from the server.Moreover,our location proof system guarantees user location privacy from every party.Bluetooth enabled mob

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Radhika, Immisetty, and K. Anuradha. "Enabling Privacy-Preserving Location Proofs for Mobile Users." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1191–95. http://dx.doi.org/10.31142/ijtsrd11370.

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16

Gazzard, Alison. "Location, location, location: Collecting space and place in mobile media." Convergence: The International Journal of Research into New Media Technologies 17, no. 4 (2011): 405–17. http://dx.doi.org/10.1177/1354856511414344.

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17

Imansyah, Nur, and Sri Handani Widiastuti. "Layanan Berbasis Lokasi Hotel Menggunakan Realitas Tertambah." JURNAL SISTEM INFORMASI BISNIS 7, no. 2 (2017): 120. http://dx.doi.org/10.21456/vol7iss2pp120-130.

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Getting information in real time at specific times and locations is especially needed when users have high mobility. But often users are not familiar with the area, so difficulty in finding locations and information. The development of technology for location based services and augmented reality makes it easy to get information from available resources in locations using mobile devices equipped with GPS devices. The research aims to combine hotel location based services and augmented reality in android-based mobile device by manipulating virtual objects into real objects through the camera as

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Susanto, Yodi, Persis Haryo Winasis, Muhammad Maulana Rachman, and Heriyanto Heriyanto. "The Use of Geofencing in Android-Based Mobile Applications for Promotional Ads in Shopping Centers." Journal Sensi 9, no. 2 (2023): 141–51. http://dx.doi.org/10.33050/sensi.v9i2.2908.

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This paper describes the implementation of geofencing technology in Android-based mobile applications for promotional advertisements based on the user's location. Geofencing is a location-based service that uses GPS, cellular networks, or Wi-Fi to create virtual geographic boundaries around specific locations. This technology enables businesses to send targeted advertisements to mobile users based on their current location. The paper presents the development of an Android-based mobile application that uses geofencing technology to provide location-based promotional advertisements to users. Res

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Liao, Qing, Haoyu Tan, Wuman Luo, and Ye Ding. "Diverse Mobile System for Location-Based Mobile Data." Wireless Communications and Mobile Computing 2018 (August 1, 2018): 1–17. http://dx.doi.org/10.1155/2018/4217432.

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The value of large amount of location-based mobile data has received wide attention in many research fields including human behavior analysis, urban transportation planning, and various location-based services. Nowadays, both scientific and industrial communities are encouraged to collect as much location-based mobile data as possible, which brings two challenges: (1) how to efficiently process the queries of big location-based mobile data and (2) how to reduce the cost of storage services, because it is too expensive to store several exact data replicas for fault-tolerance. So far, several de

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Auti, Mayuri A., and Gumaste S.V. "Private Mobile Search Engine Using Various Locations." COMPUSOFT: An International Journal of Advanced Computer Technology 04, no. 06 (2015): 1868–70. https://doi.org/10.5281/zenodo.14786349.

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Mobile search engine is a meta search engine that imprisonments the user’s favorite in the form of concepts by mining their clickthrough data. It excerpts the importance of location information in mobile search and categorizes these concepts into content concepts and location concepts. By positioning by GPS, user’s locations are used to addition the location concepts in search engine. The user favorites are organized in ontology based, multi facet user profiles, which are used to familiarize a Personalizing ranking function for rank revision of search results. Mobile Search Engine

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Seydim, Ayse Yasemin, Margaret H. Dunham, and Yu Meng. "Location Leveling." International Journal of Mobile Computing and Multimedia Communications 4, no. 4 (2012): 36–61. http://dx.doi.org/10.4018/jmcmc.2012100103.

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Location based service (LBS) is an appealing technology in the pervasive mobile computing environment. In this environment, the answer to a location dependent query depends on the location of the mobile user. However, the location granularity to which the mobile unit is bound by a location service may differ from that stored in the content provider’s database. As a result, a location granularity mismatch occurs. The authors propose a general software architecture, location leveling, to solve this problem. As their layered location leveling solution is independent of the support provided by the

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Lee, Chiang, Chih-Horng Ke, and Chao-Chun Chen. "Improving location management for mobile users with frequently visited locations." Performance Evaluation 43, no. 1 (2001): 15–38. http://dx.doi.org/10.1016/s0166-5316(00)00025-0.

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23

Annisa, T. Sandra Alyssa, and Muhammad Asyhar Agmalaro. "The Development of A Mobile-Based Area Recommendation System Using Grid-Based Area Skyline Query and Google Maps." Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 13, no. 2 (2024): 326–37. http://dx.doi.org/10.23887/janapati.v13i2.66155.

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Choosing a location for a business or place of residence is an essential task in our daily lives. Typically, a location is considered favorable if it is in proximity to profitable facilities that enhance its value while being distant from facilities that diminish its value. However, conducting surveys in the field to identify desirable candidate locations is not always feasible. Factors such as high costs, inclement weather, and transportation limitations can hinder survey activities. This study aims to develop a mobile-based system for location selection using the Grid-based Area Skyline (GAS

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Kazemi, Ali. "Fine-tuning locational formulations in mobile phone calls." Discourse Studies 22, no. 5 (2020): 553–70. http://dx.doi.org/10.1177/1461445620914674.

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This study examines the sequential and situated organization associated with framing locational formulations by dislocated parties to mobile phone calls for the joint accomplishment of location-related social action. The data come from 22 mundane Farsi mobile phone calls involving location inquiring and/or reporting. The analysis of the data, informed by conversational analysis and Levinson’s conceptual framework of perspective-taking, adds frame of reference (hereafter, FoR) to Schegloff’s location, membership, and topic or activity analyses operative in the selection of locational formulatio

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Wang, Yu, Dingbang Xu, and Fan Li. "Providing location-aware location privacy protection for mobile location-based services." Tsinghua Science and Technology 21, no. 3 (2016): 243–59. http://dx.doi.org/10.1109/tst.2016.7488736.

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Ukrit, M. Ferni, B. Venkatesh, and Swetabh Suman. "Location Based Services with Location Centric Profiles." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (2016): 3001. http://dx.doi.org/10.11591/ijece.v6i6.11111.

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<p>In the advancing world of technology, Mobile applications are a rapidly growing segment of the global mobile market. Mobile applications are evolving at a meteor pace to give users a rich and fast user experience. Android operating system supports most applications in today’s technical world. It is an open source operating system which highly satisfies the user’s needs. In this paper, the applications that are location based i.e. the applications that make use of the Global Positioning System (GPS) is discussed. It is a space based satellite navigation system which provides details of

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Ukrit, M. Ferni, B. Venkatesh, and Swetabh Suman. "Location Based Services with Location Centric Profiles." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (2016): 3001. http://dx.doi.org/10.11591/ijece.v6i6.pp3001-3005.

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<p>In the advancing world of technology, Mobile applications are a rapidly growing segment of the global mobile market. Mobile applications are evolving at a meteor pace to give users a rich and fast user experience. Android operating system supports most applications in today’s technical world. It is an open source operating system which highly satisfies the user’s needs. In this paper, the applications that are location based i.e. the applications that make use of the Global Positioning System (GPS) is discussed. It is a space based satellite navigation system which provides details of

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Zhang, Qi Cong. "Location-Transparent Mobile Agent Communication." Advanced Materials Research 225-226 (April 2011): 1054–58. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.1054.

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The mobile agent research has become a hot topic. It is an agent’s fundamental functionality to effectively exchange information with others. In a Mobile Agent System (MAS), the location transparency is critical for inter-agent communications. This paper presented a location-transparent communication model by describing the process of agent migration, inter-agent communication and message delivery. To wrap up the discussion, the author suggested the direction of related future research work.

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Cipcigan-Rațiu, A. "Location Prediction in Mobile Applications." Studia Universitatis Babeș-Bolyai Informatica 65, no. 1 (2020): 56–58. http://dx.doi.org/10.24193/subbi.2020.1.04.

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Yim, Jaegeol, Subramaniam Ganesan, and Byeong Ho Kang. "Location-Based Mobile Marketing Innovations." Mobile Information Systems 2017 (2017): 1–3. http://dx.doi.org/10.1155/2017/1303919.

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Ahonen, S., and P. Eskelinen. "Mobile terminal location for UMTS." IEEE Aerospace and Electronic Systems Magazine 18, no. 2 (2003): 23–27. http://dx.doi.org/10.1109/maes.2003.1183866.

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32

Chen, Ming, Wenzhong Li, Xu Chen, Zhuo Li, Sanglu Lu, and Daoxu Chen. "LPPS: A Distributed Cache Pushing BasedK-Anonymity Location Privacy Preserving Scheme." Mobile Information Systems 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/7164126.

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Recent years have witnessed the rapid growth of location-based services (LBSs) for mobile social network applications. To enable location-based services, mobile users are required to report their location information to the LBS servers and receive answers of location-based queries. Location privacy leak happens when such servers are compromised, which has been a primary concern for information security. To address this issue, we propose the Location Privacy Preservation Scheme (LPPS) based on distributed cache pushing. Unlike existing solutions, LPPS deploys distributed cache proxies to cover

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Zuva, Tranos, and Keneilwe Zuva. "Generic Service Location Discovery Recommender System for Mobile Users." International Journal of Future Computer and Communication 3, no. 6 (2014): 432–35. http://dx.doi.org/10.7763/ijfcc.2014.v3.342.

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Yan, Gongjun, Wu He, Hui Shi, and Dazhi Chong. "Rank and Location Based Security Mechanism for Mobile Networks." International Journal of Signal Processing Systems 7, no. 2 (2019): 43–48. http://dx.doi.org/10.18178/ijsps.7.2.43-48.

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Spann, Martin, and Dominik Molitor. "Location-Based Advertising." MedienWirtschaft 12, no. 4 (2015): 40–43. http://dx.doi.org/10.15358/1613-0669-2015-4-40.

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Weltweit kommen auf derzeit knapp 7,3 Milliarden Menschen etwa 5,3 Milliarden Mobiltelefone, wovon wiederum 40 Prozent den internetfähigen Mobilfunktelefonen, sogenannten Smartphones, zugerechnet werden können (Meeker 2015). Aus Unternehmenssicht ist die zunehmende Verbreitung von Smartphones bedeutsam. Das liegt vor allem an den grundlegenden Eigenschaften dieser Geräte. Im Vergleich zu stationären PCs sind Smartphones leicht zu transportieren und können überall verwendet werden. Zudem enthalten Smartphones eine Reihe von Sensoren, die es ermöglichen den Anwendungskontext des Geräts zu erfass

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Zhao, Nan Nan, and Jian Bo Yao. "Mobile-Base-Station Location Privacy Based on Greedy Random Walk in WSN." Applied Mechanics and Materials 427-429 (September 2013): 2502–7. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2502.

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As wide applications of wireless sensor networks, privacy concerns have emerged as the main obstacle to success. When wireless sensor networks are used to battlefield, the privacy about base-station-locations become a crux issue. If base-station location will be exposed to adversary, the consequence is inconceivable. Random data collection scheme has a problem that message latencies become larger higher for protecting mobile-base-station-location privacy. In this paper, GROW (Greedy Random Walk) is proposed to preserve mobile-base-station-location privacy. In GROW, data are forwarded and store

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Janice, Imizuokena Iroriteraye-Adjekpovu. "Gender Differences in Students' Mobile Phone Utilization in Rural and Urban Location in Delta State." GPH-International Journal of Social Science and Humanities Research 7, no. 09 (2024): 65–76. https://doi.org/10.5281/zenodo.14258930.

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The study examined gender differences in students’ mobile phone utilization in rural and urban location in Delta State. 130 three hundred level (300L) undergraduates in the Department of Science Education, Faculty of Education, Delta State University (DELSU), Abraka and University of Delta (UNIDEL), Agbor, comprised the study’s population. Krejcie and Morgan’s (1970) sample determination table was used to select 97 samples for the study. Data were collected using a questionnaire titled “Students’ Utilization of Mobile Phones (SUMP)”. The instrument was valid

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Wyse, James E. "Location-Aware Query Resolution for Location-Based Mobile Commerce." Journal of Database Management 17, no. 3 (2006): 41–65. http://dx.doi.org/10.4018/jdm.2006070103.

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Zhao, Yong Fu, and Jian Bo Yao. "Bidirection Greedy Walk Based Mobile-Base-Station-Location Privacy in Wireless Sensor Networks." Applied Mechanics and Materials 427-429 (September 2013): 2497–501. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2497.

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As wide applications of wireless sensor networks, privacy concerns have emerged as the main obstacle to success. When wireless sensor networks are used to battlefield, the privacy about base-sation-locations become a crux issue. If base-sation location will be exposed to adversary, the consequence is inconceivable. Random data collection scheme has a problem that message latencies become larger higher for protecting mobile-base-station-location privacy .In this paper, BDGW (Bidirection Greedy Walk) is proposed to preserve mobile-base-station-location privacy. In BDGW, data are forwarded by gre

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Thabasu Kannan, S., and N. Shakeela. "Optimization of Location Management Cost by Mobility Pattern." Asian Journal of Electrical Sciences 3, no. 2 (2014): 46–50. http://dx.doi.org/10.51983/ajes-2014.3.2.1925.

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As per one survey, every mobile user possesses two mobiles in the ratio of 1:2. Out of this 75% of the mobiles belongs to the category of smart phones. In this situation, the technology also fulfills the requirements for future advanced usage. Now-a-days mobile plays a pivotal role for connecting the global matters with in the hold of our palm. The main factor which influences the availability of mobile system in the market is speed and portability. Hence the speedy retrieval is the tharaga manthra pronounced in the minds of mobile users. In the instant world, time is the major constraint for

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Vu, Trung Kien, and Sungoh Kwon. "Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/790103.

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We propose a mobility-assisted on-demand routing algorithm for mobile ad hoc networks in the presence of location errors. Location awareness enables mobile nodes to predict their mobility and enhances routing performance by estimating link duration and selecting reliable routes. However, measured locations intrinsically include errors in measurement. Such errors degrade mobility prediction and have been ignored in previous work. To mitigate the impact of location errors on routing, we propose an on-demand routing algorithm taking into account location errors. To that end, we adopt the Kalman f

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Yu, Ruiyun, Xingyou Xia, Shiyang Liao, and Xingwei Wang. "A Location Prediction Algorithm with Daily Routines in Location-Based Participatory Sensing Systems." International Journal of Distributed Sensor Networks 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/481705.

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Mobile node location predication is critical to efficient data acquisition and message forwarding in participatory sensing systems. This paper proposes a social-relationship-based mobile node location prediction algorithm using daily routines (SMLPR). The SMLPR algorithm models application scenarios based on geographic locations and extracts social relationships of mobile nodes from nodes’ mobility. After considering the dynamism of users’ behavior resulting from their daily routines, the SMLPR algorithm preliminarily predicts node’s mobility based on the hidden Markov model in different daily

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S, Dhanasekar. "GEOSILENCE – LOCATION TRIGERRED DEVICE MUTING." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29517.

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Mobile devices have become an integral part of human lifestyle. The convenience offered by mobile devices usage can’t be denied. However, there are growing concerns about the disturbances caused by usage of mobile devices. One of the concerns is the disturbances caused by ringing sound of mobile devices at places that require silence such as mosque, library, cinema, and meeting room. Mobile device owners often forget to turn on silence mode on their devices in these places. To overcome such problem, this paper proposes an auto-notification application for mobile device using geofencing techniq

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Muhamed, Ilyas, and Vijayakumar. "LPM: A DISTRIBUTED ARCHITECTURE AND ALGORITHMS FOR LOCATION PRIVACY IN LBS." International Journal of Network Security & Its Applications (IJNSA) 4, no. 2 (2012): 135 to 146. https://doi.org/10.5281/zenodo.3346476.

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Recent advances in mobile communication and development of sophisticated equipments lead to the wide spread use of Location Based Services (LBS). A major concern for large-scale deployment of LBSs is the potential abuse of their client location data, which may imply sensitive personal information. Protecting location information of the mobile user is challenging because a location itself may reveal user identity. Several schemes have been proposed for location cloaking. In our paper, we propose a generic Enhanced Location Privacy Model (LPM), which describes the concept, the architecture, algo

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Qiu, Guoying, Yulong Shen, Ke Cheng, Lingtong Liu, and Shuiguang Zeng. "Mobility-Aware Privacy-Preserving Mobile Crowdsourcing." Sensors 21, no. 7 (2021): 2474. http://dx.doi.org/10.3390/s21072474.

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The increasing popularity of smartphones and location-based service (LBS) has brought us a new experience of mobile crowdsourcing marked by the characteristics of network-interconnection and information-sharing. However, these mobile crowdsourcing applications suffer from various inferential attacks based on mobile behavioral factors, such as location semantic, spatiotemporal correlation, etc. Unfortunately, most of the existing techniques protect the participant’s location-privacy according to actual trajectories. Once the protection fails, data leakage will directly threaten the participant’

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Zhang, Jun. "Bidirectional Random Walk Based Mobile-Sink-LocationPrivacyin WSN." Applied Mechanics and Materials 529 (June 2014): 730–34. http://dx.doi.org/10.4028/www.scientific.net/amm.529.730.

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As wide applications of wireless sensor networks, privacy concerns have emerged as the main obstacle to success. When wireless sensor networks are used to battlefield, the privacy about sink-locations become a crux issue. If sink location will be exposed to adversary, the consequence is inconceivable. Random data collection scheme has a problem that message latencies become larger higher for protecting mobile-sink-locationprivacy .In this paper, BDRW (Bidirectional Random Walk) is proposed to preserve mobile-sink-location privacy. In BDRW, data are forwarded by directional random walk and stor

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Li, Shun, Junhao Wen, and Xibin Wang. "From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System." Mobile Information Systems 2019 (January 2, 2019): 1–12. http://dx.doi.org/10.1155/2019/8950508.

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With the great development of mobile services, the Quality of Services (QoS) becomes an essential factor to meet end users’ personalized requirement on the nonfunctional performance of mobile services. However, most of the QoS values in real cases are unattainable because a service user would only invoke some specific mobile services. Therefore, how to predict the missing QoS values and recommend high-quality services to end users becomes a significant challenge in mobile service recommendation research. Previous QoS prediction researches demonstrate that the nonfunctional performance of mobil

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ZHANG, DAQING, CHAO CHEN, ZHANGBING ZHOU, and BIN LI. "IDENTIFYING LOGICAL LOCATION VIA GPS-ENABLED MOBILE PHONE AND WEARABLE CAMERA." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 08 (2012): 1260007. http://dx.doi.org/10.1142/s0218001412600075.

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More and more location-based services become relying on the logical notion of a physical location, known as logical location (e.g. Starbucks, KFC). In this paper, we propose a new way to identify logical location using (1) a GPS-enabled mobile phone and (2) a wearable camera embedded in user's glasses. When a user with a wearable camera is detected paying attention to a certain physical location, all the logical locations within the error range of the GPS coordinates are considered as the matched candidates. We select the representative frames in the video stream corresponding to user's intere

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Møller, Jesper, and Man Lung Yiu. "Probabilistic results for a mobile service scenario." Advances in Applied Probability 43, no. 2 (2011): 322–34. http://dx.doi.org/10.1239/aap/1308662481.

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We consider the following stochastic model for a mobile service scenario. Consider a stationary Poisson process in Rd, with its points radially ordered with respect to the origin (the anchor); if d = 2, the points may correspond to locations of, e.g. restaurants. A user, with a location different from the origin, asks for the location of the first Poisson point and keeps asking for the location of the next Poisson point until the first time that he/she can be completely certain that he/she knows which Poisson point is his/her nearest neighbour. This waiting time is the communication cost, whil

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Møller, Jesper, and Man Lung Yiu. "Probabilistic results for a mobile service scenario." Advances in Applied Probability 43, no. 02 (2011): 322–34. http://dx.doi.org/10.1017/s0001867800004870.

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Abstract:

We consider the following stochastic model for a mobile service scenario. Consider a stationary Poisson process in R d , with its points radially ordered with respect to the origin (the anchor); if d = 2, the points may correspond to locations of, e.g. restaurants. A user, with a location different from the origin, asks for the location of the first Poisson point and keeps asking for the location of the next Poisson point until the first time that he/she can be completely certain that he/she knows which Poisson point is his/her nearest neighbour. This waiting time is the communication cost, wh

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