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    <p>For simpliest applications, it can be solved easily:</p> <pre><code>DatagramSocket socket; public void onSensorChanged() { //calculate and create DatagramPacket here new Thread(new Runnable() { @Override public void run() { socket.send(packet); } }); } </code></pre> <p>It's not pretty, but it works (any calculations in <code>onSensorChanged()</code> aren't pretty to be fair...). Question is, whether the sending thread has to be synchronized with <code>onSensorChanged()</code> method. I figured out, that when using SENSOR_DELAY_GAME, sampling frequency on my SGS3 is around 20 ms, so it is long enough not to be synchronized. Of course it would work correctly only if Your calculations of sensor readings are simple and not time-consuming.</p> <p>But, all in all, calculating any data in <code>onSensorChanged()</code> isn't a good practise. From developer.android.com:</p> <blockquote> <p>Don't block the onSensorChanged() method</p> <p>Sensor data can change at a high rate, which means the system may call the onSensorChanged(SensorEvent) method quite often. As a best practice, you should do as little as possible within the onSensorChanged(SensorEvent) method so you don't block it. If your application requires you to do any data filtering or reduction of sensor data, you should perform that work outside of the onSensorChanged(SensorEvent) method.</p> </blockquote> <p>Therefore what I would suggest is put sensor data in some data container (i.e. <code>List</code> or sth...) and access this data from another thread, calculate it and send.</p> <p>And for the last question: even if there was a way to run <code>onSensorChanged()</code> in separate thread, it would be fatal to most applications, due to possible thousands of threads at one time (as far as I'm concerned, Java is quite restraining environment and there are significant error-preventing mechanisms already on API-level).</p>
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    1. COThank you. Your answer also made me realize that I was clogging the mainUiThread with lots of unnecessary calculations - moving them to a separate thread improved the performance significantly.
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