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The Skyhook Precision Location Lite Client provides a pluggable software architecture that can easily be ported to new platforms and/or devices. The source code below includes an implementation guide for the Linux platform that serves as a starting example. حاشیهDownload skyhook wireless register key for wondershare. Skyhook wireless hack software rapidshare wondershare data recovery. Realistic fireplace. 22 Sep - 5 min - Uploaded by Susanoo skyhook wireless 7 3 9 hack wifi.
Overview
Precision Location Lite Client is location awareness, in a lightweight package. It's written in C++ and deployed as a dynamic library, with a C API exposed to applications.
The following project acts as an example of how to implement a location-based solution using Skyhook's positioning, and can be used as a starting point for your application.
The Skyhook Precision Location Lite Client provides a pluggable software architecture that can easily be ported to new platforms and/or devices. The source code below includes an implementation guide for the Linux platform that serves as a starting example.
Requirements
Build and run now
- Linux
- CMake 2.6 or higher
- GCC 3.4 (or higher) or Clang 3.3 (or higher)
- XML: libxml2
- HTTPS: libcurl, and openssl or gnutls
- Wi-Fi: nl80211
- Cell: oFono API to enable cell positioning
- GPS: NMEA or SiRF-compatible GPS receiver with serial interface
Extending to a non-Linux based platform
- С++98 compatible toolchain
- STL (streams support not required)
- CMake 2.6+ recommended but not required
API Key
Before you proceed to building your project, first make sure to acquire an API key at my.skyhookwireless.com
. Do not share this secret key.
To do this, follow these steps:
- Create a My.Skyhook account if you don't already have one by going to my.skyhookwireless.com/register.
- Create a new Precision Location project. Select Linux for your project's OS at this time. Once created, note your API key. You can get back to this any time via my.skyhookwireless.com/dashboard.
Building
Below are the steps required to build a Precision Location Lite Client project on Ubuntu/Linux.
Install the C++ toolchain (gcc/g++, make, etc), CMake and the required libraries:
Check out the project to /home/user/skyhook/liteclient
and create a build directory at /home/user/skyhook/cmake_build
.
Your directory structure should look like this:
Now you can build the project with the following commands:
As a result, you should see libskyhookliteclient.so
and skyhooklitetest
in the current directory. You can now run:
Structure
The Precision Location Lite Client provides a pluggable software library that can easily be ported to new platforms and/or devices. The source tree is split into two layers:
Purpose | Location | C++ Namespace | |
---|---|---|---|
API | Implementation of SHLC API | include/api src/api | WPS::API |
SPI | Platform abstraction (Service Provider Interface) | include/spi src/spi | WPS::SPI |
The API layer implements the generic platform independent of SHLC API logic. It is built on top of SPI, and creates the libskyhookliteclient.so
target.
The SPI layer provides a set of primitives dependent of platform specifics (thread, time, Wi-Fi, GPS etc.) defined as C++ classes or functions (listed under include/spi
). The SPI layer creates a set of static library targets: libwpsspi-thread.a
, libwpsspi-wifi.a
, libwpsspi-gps.a
and so on.
Below is a diagram that visualizes all the above:
Build Tree
According to the project structure described above, you can find a CMakeLists.txt
file for each library target in the build tree.
When you issue a cmake
command (see Building), the root CMakeLists.txt
file will be loaded, which in turn will load the tree of all dependent targets, as shown below:
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Customization
The key part of the SPI layer structure is that each SPI target may have multiple implementations that you can switch at build time. This is achieved by using a CMake variable pointing to a subdirectory.
Let's consider the Wi-Fi target as an example:
You can see that the wifi
directory has 2 subdirectories:
Subdirectory | Description |
---|---|
nl80211 | implementation based on the 802.11 netlink interface |
static | implementation that simulates a hard coded Wi-Fi scan (for testing) |
The src/spi/wifi/CMakeLists.txt
defines the WPS_SPI_WIFI_ADAPTER
variable pointing to one of the two values.
The default value is obviously nl80211
, but you can customize the build and choose static
wifi (for example you want to test on a device prototype that lacks wifi hardware):
The same applies to each individual SPI target. Examine the corresponding CMakeLists.txt
file to see the configuration options for each.
GPS configuration
As indicated in the previous section, you can choose a GPS implementation (similar to Wi-Fi) by specifying WPS_SPI_GPS_ADAPTER
. Possible options are unixserial
, static
or null
.
GPS is disabled (set to null
) by default, but can be enabled by choosing the unixserial
implementation. You will have to configure additional parameters for your GPS device defined in src/spi/gps/unix/CMakeLists.txt
:
Parameter | Description |
---|---|
WPS_SPI_GPS_ADAPTER | implementation: unixserial , static or null |
WPS_SPI_GPS_DEVICE | name of serial device to connect |
WPS_SPI_GPS_PROTOCOL | protocol name: nmea or sirf |
For example:
You can also configure these parameters at runtime via environment variables:
Finally you can exclude NMEA or SiRF code from build (to reduce binary size) via WPS_SPI_GPS_PROTOCOL_NMEA
and WPS_SPI_GPS_PROTOCOL_SIRF
flags (defined in src/spi/gps/protocol/CMakeLists.txt
).
For example, if your device will always use the NMEA protocol, you can exclude the SiRF implementation by using the following parameter:
Adding your own SPI implementation
Based on the build configuration guide above, you can now predict steps for adding your own SPI implementation. For example, in order to add a new XML implementation based on tinyxml
, you need to do the following:
- Add a subdirectory:
src/spi/xml/tinyxml
- Write
TinyXmlParser.cpp
implementingWPS::SPI::XmlParser
andWPS::SPI::DOM
- Add a
CMakeLists.txt
file to thetinyxml
directory that creates alibwpsspi-xml
static library target - Run cmake with:
-DWPS_SPI_XML=tinyxml
Porting to a different OS
Finally, you might want to go further and port the Lite Client project to a non-Linux OS. You are free to do so given that your environment meets basic requirements (see Extending to a non-Linux based platform).
As long as those requirements have been met, porting the Lite Cient to your OS is a matter of adding corresponding SPI implementations (from a small subset up to replacing the whole SPI layer) and adding appropriate compiler specific definitions (similar to build/unix.cmake
) to the set of CMakeLists.txt
and src/spi/spi.cmake
. You don't have to worry about porting the API layer code.
UNIX-like OS
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As you may have noticed, many of the SPI modules (like stdlibc
, time
, gps
) have an implementation with name unix
. This means you can reuse those on other UNIX-like operating systems.
Other implementations you could reuse are based on open source libraries or POSIX APIs:
xhr
based onlibcurl
xml
based onlibxml2
concurrent
based onpthreads
For example, adding an implementation for wifi
will be sufficient for Mac OS X support (keep a null
cell implementation if cell support is not required).
Non-UNIX OS
If you want to port to something outside the UNIX world, you'll have to take into account that the C/C++ standard libraries differ across operating systems and compilers. That means you'll need to implement most of the SPI modules, including essentials like assert
, stdlibc
, time
etc.
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CMake Unavailable
This project uses CMake because it suits perfectly for a cross-platform C++ project. Its syntax is very simple and human readable. CMake is highly portable and binary distributions are available for the vast majority of platforms. It is also customizable for various cross-compiling scenarios such as using a rootstrap.
However, if your custom environment is not supported by CMake, you'll have to manually create your own Makefile
or other kind of build script for your build system. Check out the Build Tree section to understand the build system and examine each CMakeLists.txt
in the tree for the list of source files and macro definitions, then add them manually to your build system.
GPS Integration
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The lite client is designed to collect sensor data from Wi-Fi, GPS and cell and provide an accurate hybrid location based on all available sensor data. The Lite Client provides a framework to allow developers to collect and submit the required sensor data and submit to Skyhook's servers for location determination.
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In the SHLC_location
method, we have implemented a simple algorithm to collect available Cell and GPS data for the duration that a Wi-Fi scan is in progress. The length of a Wi-Fi scan will generally range between 250 milliseconds to 3.5 seconds, depending on the hardware and channels scanned. Acquiring a GPS fix on the other hand can take between 30 seconds to 3 minutes (and possibly longer), depending on the hardware, available almanac and ephemeris data. For this reason, we recommend that GPS is enabled external to the SHLC_location
method to allow the appropriate time to acquire a fix.