Loclib - a collection tool for 802.11-based positioning systems.
Loclib is a research tool for 802.11-based positioning systems. Loclib is a connector between applications and sensor hardware. Its task is to collect data from the sensor hardware and pre-process it for further usage.
loclib-0.7.5.tar.gz, loclib-spbm-0.1.jar, loclib-spbm-0.1.tar.gz, loclib.src.tar.gz
the initial version.
king-tools The Loclib website
802.11 Bluetooth GPS location signal strength
This tool is released under the GNU General Public License. Please respect our work and abide the license.
See "usage" for details.
See "usage" for details.
1. NMEA-0183 A library compliant to the NMEA-0183 (Version 2.2) standard is part of Loclib. The NMEA library is specifically optimized for GPS receivers based on the SiRF II chipset. However, the library may work with other NMEA-0183 compliant devices as well. Invoke Loclib with the following command to display the information provided by the GPS receiver: java -cp loclib-0.7.5.jar:debug-disable-1.1.jar:hexdump-0.1.jar:libdbus-java-2.3.1.jar:unix-0.2.jar:j2meunit.jar:locutil1-0.5.1.jar org.pi4.loclib.nmea0183.test.SerialGpsTestToString
2. Wireless LAN Our Wireless LAN implementation supports Active and Passive Scanning as well as Monitor-Sniffing. Monitor-Sniffing has been proposed by us and is discussed in the research paper "Wiretapping the Wireless Interface for 802.11-based Positioning Systems". To get Monitor-Sniffing to work, a Wireless LAN network card is required that supports monitor mode. You can start a test program that actively scans for neighboring access points by invoking the following command: java -Djava.library.path=./ -cp loclib-0.7.5.jar:debug-disable-1.1.jar:hexdump-0.1.jar:libdbus-java-2.3.1.jar:unix-0.2.jar:j2meunit.jar:locutil1-0.5.1.jar org.pi4.loclib.wirelesslan.test.ScanTest Please adjust the java.library.path accordingly. The test program works only under Linux or *BSD operation systems. It actively scans for access points using interface eth0 and prints detail information about the presence and signal strength quality of access points in communication range.
3. Bluetooth A so-called proximity-based Bluetooth location system is part of Loclib. This kind of location systems have been proposed by many researchers and they work as follows: the position of a mobile device is derived from the access points in communication range by averaging their positions. Our implementation requires the BlueZ Bluetooth stack and a Linux or *BSD operating system. Replace the MAC addresses and coordinates stored in the bluetoothlocationdata.txt file with the values of the Bluetooth access points in your vicinity. Modify the loclib.properties, so that "provider=Bluetooth" is set. After that, invoke Loclib with the following command: java -cp loclib-0.7.5.jar:debug-disable-1.1.jar:hexdump-0.1.jar:libdbus-java-2.3.1.jar:unix-0.2.jar:j2meunit.jar:locutil1-0.5.1.jar org.pi4.loclib.test.LocationProviderTest
4. Digital Compass We have implemented the communication protocol for the F350-Compass-RD digital compass manufactured by Silicon Laboratories. The compass provides information about azimuth, current temperature and inclination of the compass on X- and Y-axis. The declination angle must be set correctly. You can start a test program by invoking the following command: java -cp loclib-0.7.5.jar:debug-disable-1.1.jar:hexdump-0.1.jar:libdbus-java-2.3.1.jar:unix-0.2.jar:j2meunit.jar:locutil1-0.5.1.jar org.pi4.loclib.f350compassfd.test.CompassTest The test program continously requests and receives data from the compass and prints it to the screen. As the compass package is not covered by the Location API, we encourage you to use the InputOutputHandler class as a front-ending if you want to use the compass package along with your own source code. The class that uses the InputOutputHandler is then supposed to implement the CompassListener interface in order to handle incoming messages. A detailed description is also available that discusses how to use the classes and interfaces.
5. Application: FDDD FDDD (Fingerprint Database Distribution Demonstrator) is a demo application that illustrates algorithms for distributing fingerprints for 802.11-based positioning systems among mobile devices. To invoke FDDD execute the following command: java -cp loclib-0.7.5.jar:debug-disable-1.1.jar:hexdump-0.1.jar:libdbus-java-2.3.1.jar:unix-0.2.jar:j2meunit.jar:locutil1-0.5.1.jar -Djava.library.path=PATH_LOCLIB_JNI -Djava.security.policy=PATH_FDDD/rmi.policy -jar fddd-0.5.jar The words in upper case are placeholders: - PATH_LOCLIB_JNI defines the path to the Loclib jni directory - PATH_FDDD defines the path where the FDDD code is stored
6. Application: SPBM SPBM (Scalable Position-Based Multicast) is a multicast routing protocol for mobile ad-hoc networks. It uses the positions of the nodes in the network to forward data packets. Loclib can be used to provide the SPBM kernel module with coordinates derived from the current GPS position. loclib-spbm requires four command line arguments: Latitude of the origin of the SPBM coordinate system (in degrees) Longitude of the origin of the SPBM coordinate system (in degrees) Step width along the x axis of the SPBM coordinate system (in degrees) Step width along the y axis of the SPBM coordinate system (in degrees) For example, if you want to use SPBM in the city of Mannheim (Germany), you have to run loclib-spbm as follows: java -jar loclib-spbm-0.1.jar 49.3 8.5 0.0001 0.0001
1. Overview Loclib is a connector between applications and sensor hardware. Its task is to collect data from the sensor hardware and pre-process it for further usage. On the application side it offers two types of front-ends: The well-known Location API to access position estimates, and so-called handlers that provide access to sensor-specific data (e.g., signal strength values of neighboring access points). On the sensor hardware side, it communicates directly with hardware drivers to access sensor information that would otherwise be hidden. Loclib focuses not only on 802.11, it also contains a GPS part that is able to talk to NMEA-0183-enabled GPS devices as well as a digital compass for obtaining direction and inclination information. 2. Architecture As already mentioned in the previous section, Loclib interconnects sensor hardware and applications by gathering sensor-specific data and converting it into location information if required. Loclib is organized in three layers: - Sensor-specific data collection layer - Data conversion layer - Location application programming interface layer The sensor-specific data collection layer gathers data from different sensor hardware. At the moment, Loclib is able to retrieve data from 802.11 wireless LAN network cards, NMEA-enabled GPS receivers, and digital compasses. To collect data, drivers can be accessed, or if it is feasible Loclib communicates directly with the sensor in question. For instance, digital compasses are directly queried, as well as NMEA-0183 devices. In case of 802.11 network cards, the signal strength of access points in communication range is retrieved from the driver. The data collected from the sensor-specific data collection layer is usually forwarded to the data conversion layer for further processing. However, the data can also be directly accessed by using so-called handlers. Handlers are pre-defined interfaces to allow applications such as Loctrace to access sensor-specific data. The data conversion layer is responsible for converting data provided by the sensor-specific data collection layer into a position estimate that can be utilized by the Location API. To accomplish this, so far, GPS or 802.11-based positioning algorithms can be used. The data conversion layer is able to switch between 802.11-based positioning and GPS-based positioning if one of the sources fades out and the other is still operational. If both positioning services are available, GPS is preferred. Should both sources of position information be unable to deliver the required data an error code is returned instead of a valid position. The location application program interface layer implements the well-known and widely used Location API to deliver location estimates to applications. This is a standardized way to hand over location information. Especially on mobile devices, this is a wide-spread approach to support location-based services. 3. Documentation & Tests For software documentation purposes we mostly rely on Javadoc. Additionally, we use JUnit tests and UML diagrams during our development process as documentation tools. 4. Location API We have implemented the Location API as defined in JSR-179 to provide application developers a unified interface to location information. So far, our implementation is not completely compliant with the standard because we focused on the features we need. In the future, we will add missing parts.
The files in this directory are a CRAWDAD toolset hosted by IEEE DataPort.
About CRAWDAD: the Community Resource for Archiving Wireless Data At Dartmouth is a data resource for the research community interested in wireless networks and mobile computing.
CRAWDAD was founded at Dartmouth College in 2004, led by Tristan Henderson, David Kotz, and Chris McDonald. CRAWDAD toolsets are hosted by IEEE DataPort as of November 2022.
Note: Please use the tools in an ethical and responsible way with the aim of doing no harm to any person or entity for the benefit of society at large. Please respect the privacy of any human subjects whose wireless-network activity is captured by the tools and comply with all applicable laws, including without limitation such applicable laws pertaining to the protection of personal information, security of data, and data breaches. Please do not apply, adapt or develop algorithms for the extraction of the true identity of users and other information of a personal nature, which might constitute personally identifiable information or protected health information under any such applicable laws. Do not publish or otherwise disclose to any other person or entity any information that constitutes personally identifiable information or protected health information under any such applicable laws derived from the tools through manual or automated techniques.
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Thomas Butter, Wolfgang Effelsberg, Thomas Haenselmann, Stephan Kopf, Thomas King, Hendrik Lemelson, CRAWDAD toolset tools/collect/location/loclib (v. 2007‑09‑14) https://doi.org/10.15783/C7FS3R, Sep 2007.
- loclib-0.7.5.tar.gz (282.71 kB)
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These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.