Drawing on the authors’ more than six years of R&D in location-based information systems (LBIS) as well as their participation in defining the Java ME Location API 2.0, Location-Based Information Systems: Developing Real-Time Tracking Applications provides information and examples for creating real-time LBIS based on GPS-enabled cellular phones. Each chapter presents a general real-time tracking system example that can be easily adapted to target any application domain and that can incorporate other sensor data to make the system "participatory sensing" or "human-centric sensing."
The book covers all of the components needed to develop an LBIS. It discusses cellular phone programming using the Java ME platform, positioning technologies, databases and spatial databases, communications, client- and server-side data processing, and real-time data visualization via Google Maps and Google Earth. Using freely available software, the authors include many code examples and detailed instructions for building your own system and setting up your entire development environment.
A companion website at www.csee.usf.edu/~labrador/LBIS provides additional information and supporting material. It contains all of the software packages and applications used in the text as well as PowerPoint slides and laboratory examples.
Although LBIS applications are still in the beginning stages, they have the potential to transform our daily lives, from warning us about possible health problems to monitoring pollution levels around us. Exploring this novel technology, Location-Based Information Systems describes the technical components needed to create location-based services with an emphasis on nonproprietary, freely available solutions that work across different technologies and platforms.
Definition and Classification of LBS
Location Provider Architectures
A Complete LBIS Real-Time Tracking System Example
A Brief Look into the Future
Organization of the Book
The Mobile Phone
The Hardware Architecture
The Software Architecture
The Mobile Phone and the LBIS Tracking System Example
The Java Platform Micro Edition (Java ME)
The Java ME Platform
The Connected Limited Device Configuration (CLDC) Layer 1.1
The Mobile Information Device Profile (MIDP) Layer 2.0
The Java ME Platform and the LBIS Tracking System Example
A Hello World MIDlet
The User Interface API
The Media API
The Record Management System API
MIDlet Development and the LBIS Tracking System Example
Other Important Programming Aspects
Other Important Programming Aspects and the LBIS Tracking System Example
Obtaining the User’s Position
The Global Positioning System (GPS)
The GSM Cellular Network
Indoor Positioning Systems
The Location API 2.0
Obtaining the User’s Position and the LBIS Tracking System Example
Storing and Retrieving the Data: The Database
Accessing the Database Using Java
pgAdmin III: Postgres’s Database Administration Tool
The Database and the LBIS Tracking System Example
Sending and Receiving Data: Communications
The Generic Connection Framework (GCF) of the CDLC
The Mobile Information Device Profile (MIDP)
The Wireless Messaging API (WMA)
Communications and the LBIS Tracking System Example
Java ME Web Services
An Overview of Web Services
The Web Services API (WSA)
A Web Service Example
Web Services and the LBIS Tracking System Example
Google Web Toolkit
Creating System Administration Functions
System Administration and the LBIS Tracking System Example
Visualizing Users’ Positions in Google Maps
Data Visualization and the LBIS Tracking System Example
Processing the Data
Mobile Device-Side Processing
Processing the Data and the LBIS Tracking System Example
Appendix: Installing the Software Development Environments (SDE) Bibliography
Miguel A. Labrador is an associate professor in the Department of Computer Science and Engineering at the University of South Florida in Tampa. He has more than fifteen years of experience in the telecommunication industry and has published extensively in the field. Dr. Labrador is currently an editorial board member of Computer Communications and the Journal of Network and Computer Applications. He earned his Ph.D. in information science with concentration in telecommunications from the University of Pittsburgh.
Alfredo J. Pérez is a member of the Location-Aware Information Systems Laboratory and a Ph.D. candidate at the University of South Florida. He is also a member of the IEEE Computational Intelligence Society. His research interests include mobile sensor networks, location-based systems, evolutionary algorithms, and multi-objective optimization.
Pedro M. Wightman is a professor in the Department of Systems Engineering at the Universidad del Norte in Barranquilla, Colombia. He is a member of the IEEE Communication Society and co-founder of CommNet, the Communication Networks Group at the University of South Florida. He earned his Ph.D. in computer science and engineering from the University of South Florida.
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