Access the full text.
Sign up today, get DeepDyve free for 14 days.
B. Yang, Hua Lu, Christian Jensen (2010)
Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space
S. Alamri, D. Taniar, Maytham Safar, Haidar Al-Khalidi (2014)
A connectivity index for moving objects in an indoor cellular spacePersonal and Ubiquitous Computing, 18
K. Christensen, L. Christiansen, T. Pedersen, Jeppe Pihl (2015)
Searchlight: Context-aware predictive Continuous Querying of moving objects in symbolic space2015 IEEE 31st International Conference on Data Engineering
Yuni Xia, Sunil Prabhakar (2003)
Q+Rtree: efficient indexing for moving object databasesEighth International Conference on Database Systems for Advanced Applications, 2003. (DASFAA 2003). Proceedings.
Hua Lu, Xin Cao, Christian Jensen (2012)
A Foundation for Efficient Indoor Distance-Aware Query Processing2012 IEEE 28th International Conference on Data Engineering
You Li, Y. Zhuang, Haiyu Lan, Qifan Zhou, X. Niu, N. El-Sheimy (2016)
A Hybrid WiFi/Magnetic Matching/PDR Approach for Indoor Navigation With Smartphone SensorsIEEE Communications Letters, 20
N. Hernández, M. Ocaña, J. Alonso, Euntai Kim (2014)
WiFi-based indoor localization and tracking of a moving device2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)
Yufei Tao, D. Papadias (2001)
Efficient historical R-treesProceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001
S. Alamri, D. Taniar, Maytham Safar (2013)
Indexing moving objects for directions and velocities queriesInformation Systems Frontiers, 15
S. Alamri, D. Taniar, Maytham Safar (2013)
Indexing of Spatiotemporal Objects in Indoor Environments2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA)
Christian Jensen, Hua Lu, B. Yang (2009)
Indexing the Trajectories of Moving Objects in Symbolic Indoor Space
T. Abdessalem, José Moreira, Cristina Ribeiro (2001)
Movement Query Operations for Spatio-Temporal Databases
Haidar Al-Khalidi, D. Taniar, John Betts, S. Alamri (2014)
Monitoring Moving Queries inside a Safe RegionThe Scientific World Journal, 2014
Yixin Wang, Qiang Ye, Jie Cheng, Lei Wang (2015)
RSSI-Based Bluetooth Indoor Localization2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)
Nilgün Fescioglu-Ünver, S. Choi, D. Sheen, S. Kumara (2015)
RFID in production and service systems: Technology, applications and issuesInformation Systems Frontiers, 17
Wenchao Jiang, Zhaozheng Yin (2015)
Indoor localization with a signal treeMultimedia Tools and Applications, 76
O. Wolfson, Bo Xu, S. Chamberlain, Liqin Jiang (1998)
Moving objects databases: issues and solutionsProceedings. Tenth International Conference on Scientific and Statistical Database Management (Cat. No.98TB100243)
S. Alamri, D. Taniar, Maytham Safar (2014)
A taxonomy for moving object queries in spatial databasesFuture Gener. Comput. Syst., 37
Tomás Ruiz-López, J. Garrido, Kawtar Akhlaki, L. Chung (2010)
A Survey on Indoor Positioning Systems: Foreseeing a Quality Design
N. Beckmann, H. Kriegel, R. Schneider, B. Seeger (1990)
The R*-tree: an efficient and robust access method for points and rectangles
Y. Theodoridis, M. Vazirgiannis, T. Sellis (1996)
Spatio-temporal indexing for large multimedia applicationsProceedings of the Third IEEE International Conference on Multimedia Computing and Systems
Tiara Dionti, Kiki Maulana, S. Alamri (2017)
Inter-building Routing Approach for Indoor Environment
S. Alamri, D. Taniar, Kinh Nguyen (2018)
Vertical Indexing for Moving Objects in Multifloor EnvironmentsMob. Inf. Syst., 2018
B. Shin, Kwang-Won Lee, Sun-Ho Choi, Joo-Yoen Kim, Woo Lee, H. Kim (2010)
Indoor WiFi positioning system for Android-based smartphone2010 International Conference on Information and Communication Technology Convergence (ICTC)
Yufei Tao, D. Papadias (2001)
MV3R-Tree: A Spatio-Temporal Access Method for Timestamp and Interval Queries
Yan Luo, O. Hoeber, Y. Chen (2013)
Enhancing Wi-Fi fingerprinting for indoor positioning using human-centric collaborative feedbackHuman-centric Computing and Information Sciences, 3
(2013)
Location tracking approaches
B. Yang, Hua Lu, Christian Jensen (2009)
Scalable continuous range monitoring of moving objects in symbolic indoor spaceProceedings of the 18th ACM conference on Information and knowledge management
Haidar Al-Khalidi, D. Taniar, John Betts, S. Alamri (2013)
On finding safe regions for moving range queriesMath. Comput. Model., 58
S. Alamri, D. Taniar, Maytham Safar (2012)
Indexing Moving Objects in Indoor Cellular Space2012 15th International Conference on Network-Based Information Systems
Mobile Data Management, MDM, 1
Yufei Tao, C. Faloutsos, D. Papadias, B. Liu (2004)
Prediction and indexing of moving objects with unknown motion patterns
D. Schmidt, Kenneth Radke, S. Çamtepe, Ernest Foo, Michal Ren (2016)
A Survey and Analysis of the GNSS Spoofing Threat and CountermeasuresACM Computing Surveys (CSUR), 48
Christian Jensen, D. Lin, B. Ooi, Rui Zhang (2006)
Effective Density Queries on ContinuouslyMoving Objects22nd International Conference on Data Engineering (ICDE'06)
Simonas Šaltenis, Christian Jensen, Scott Leutenegger, M. Lopez (2000)
Indexing the positions of continuously moving objects
F. Lassabe, P. Canalda, P. Chatonnay, F. Spies (2009)
Indoor Wi-Fi positioning: techniques and systemsannals of telecommunications - annales des télécommunications, 64
Acm Sigmod Record, 29
S. Alamri (2013)
Indexing and querying moving objects in indoor spaces2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW)
R. Güting, Michael Böhlen, Martin Erwig, Christian Jensen, N. Lorentzos, Markus Schneider, M. Vazirgiannis (2000)
A foundation for representing and querying moving objectsACM Trans. Database Syst., 25
Kefeng Xuan, Geng Zhao, D. Taniar, B. Srinivasan (2008)
Continuous Range Search Query Processing in Mobile Navigation2008 14th IEEE International Conference on Parallel and Distributed Systems
Yufei Tao, D. Papadias, Jimeng Sun (2003)
The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries
Kefeng Xuan, Geng Zhao, D. Taniar, W. Rahayu, Maytham Safar, B. Srinivasan (2011)
Voronoi-based range and continuous range query processing in mobile databasesJ. Comput. Syst. Sci., 77
Rosario El-Feghali, A. Mitiche (2004)
Spatiotemporal motion boundary detection and motion boundary velocity estimation for tracking moving objects with a moving camera: a level sets PDEs approach with concurrent camera motion compensationIEEE Transactions on Image Processing, 13
(2013)
Navizon indoor location solutions
S. Alamri (2018)
An Efficient Shortest Path Routing Algorithm for Directed Indoor EnvironmentsISPRS Int. J. Geo Inf., 7
Ilias Maglogiannis, Margrit Betke, G. Pantziou, F. Makedon (2012)
Assistive environments for the disabled and the senior citizens: theme issue of PETRA 2010 and 2011 conferencesPersonal and Ubiquitous Computing, 18
Fabio Forno, G. Malnati, G. Portelli (2005)
Design and implementation of a Bluetooth ad hoc network for indoor positioningIEE Proc. Softw., 152
A. Sappa, D. Gómez, F. Dornaika, Mohammad Rouhani, Antonio López (2012)
Moving Object Detection from Mobile Platforms Using Stereo Data Registration
S. Alamri, D. Taniar, Maytham Safar, Haidar Al-Khalidi (2013)
Spatiotemporal indexing for moving objects in an indoor cellular spaceNeurocomputing, 122
Xike Xie, Hua Lu, T. Pedersen (2013)
Efficient distance-aware query evaluation on indoor moving objects2013 IEEE 29th International Conference on Data Engineering (ICDE)
Dongseop Kwon, Sangjun Lee, Sukho Lee (2002)
Indexing the current positions of moving objects using the lazy update R-treeProceedings Third International Conference on Mobile Data Management MDM 2002
M. Nascimento, Jefferson Silva (1998)
Towards historical R-trees
S. Alamri, D. Taniar, Maytham Safar, Haidar Al-Khalidi (2015)
Tracking moving objects using topographical indexingConcurrency and Computation: Practice and Experience, 27
With the rapid development of the indoor spaces positioning technologies such as the radio-frequency identification (RFID), Bluetooth and WI-FI, the locations of indoor spatial objects (static or moving) constitute an important foundation for a variety of applications. However, there are many challenges and limitations associated with the structuring and querying of spatial objects in indoor spaces. The purpose of this study is to address the current trends, limitations and future challenges associated with the structuring and querying of spatial objects in indoor spaces. Also it addresses the related features of indoor spaces such as indoor structures, positioning technologies and others.Design/methodology/approachIn this paper, the author focuses on understanding the aspects and challenges of spatial database managements in indoor spaces. The author explains the differences between indoor spaces and outdoor spaces. Also examines the issues pertaining to indoor spaces positioning and the impact of different shapes and structures within these spaces. In addition, the author considers the varieties of spatial queries that relate specifically to indoor spaces.FindingsMost of the research on data management in indoor spaces does not consider the issues and the challenges associated with indoor positioning such as the overlapping of Wi-Fi. The future trend of the indoor spaces includes included different shapes of indoors beside the current 2D indoor spaces on which the majority of the data structures and query processing for spatial objects have focused on. The diversities of the indoor environments features such as directed floors, multi-floors cases should be considered and studied. Furthermore, indoor environments include many special queries besides the common ones queries that used in outdoor spaces such as KNN, range and temporal queries. These special queries need to be considered in data management and querying of indoor environments.Originality/valueTo the best of the author’s knowledge, this paper successfully addresses the current trends, limitations and future challenges associated with the structuring and querying of spatial objects in indoor spaces.
International Journal of Web Information Systems – Emerald Publishing
Published: Dec 3, 2018
Keywords: Data management; Graph connectivity; Indoor space; Spatial databases; Spatial objects
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.