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Optimizing Android Apps on Variable Network Speeds

Most of the apps today are developed and designed which can perform on all types of networks. While some of us are probably enjoying great connectivity courtesy of our carriers at our school/office/coffees shop wi-fi, there are still some people suffering from poor mobile connections, particularly in emerging markets. If you are developing an Android app you may already fetching information from internet. While doing so there is a chance that internet connection is not available on users handset, connection is slow or fast. Hence its always a good idea to create an app that can perform accordingly on all types of networks.

Facebook has made it known that their goal is to be able to reach and give access to as many markets as possible, and this includes those that still use 2G connections. In this post, we will share how this is possible by Network Connection Class

Network Connection Class allows you to check the quality of the internet connection of the current user, it is an android library. It is a simple code that will help you identify what kind of internet connection a user has on his/her device. Network Connection Class currently only measures the user’s downstream bandwidth. Latency is also an important factor, but in our tests, we’ve found that bandwidth is a good proxy for both.

The connection gets classified into several Connection Classes that makes it easy to develop against. The library does this by listening to the existing internet traffic done by your app and notifying you when the user’s connection quality changes. Developers can then use this Connection Class information and adjust the application’s behavior (request lower quality images or video, throttle type-ahead, etc).

The Network Connection Class library takes care of spikes using a moving average of the incoming samples, and also applies some hysteresis (both with a minimum number of samples and amount the average has to cross a boundary before triggering a bucket change):

Code Sample:
Connection Class provides an interface for classes to add themselves as listeners for when the network’s connection quality changes. In the subscriber class, implement ConnectionClassStateChangeListener:

[section_tc][column_tc span=’12’][blockquote_tc style=’style4′ class=”blog-code”]package com.example.android.connectionclasstest;

import android.content.Intent;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.os.AsyncTask;
import android.support.v7.app.AppCompatActivity;
import android.os.Bundle;
import android.util.Log;
import android.view.View;
import android.widget.ImageView;
import android.widget.ProgressBar;
import android.widget.TextView;
import android.widget.Toast;
import com.facebook.network.connectionclass.ConnectionClassManager;
import com.facebook.network.connectionclass.ConnectionQuality;
import com.facebook.network.connectionclass.DeviceBandwidthSampler;

import com.nostra13.universalimageloader.core.ImageLoader;
import com.nostra13.universalimageloader.core.ImageLoaderConfiguration;
import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.net.URL;
import java.net.URLConnection;

public class MainActivity extends AppCompatActivity {

private static final String TAG = “ConnectionClass-Sample”;
private ConnectionClassManager mConnectionClassManager;
private DeviceBandwidthSampler mDeviceBandwidthSampler;
private TextView mTextView;
private ImageView mImageView;
private ImageLoader imageLoader;
private ProgressBar mRunningBar;
private ConnectionChangedListener mListener;
private int mTries = 0;
private ConnectionQuality mConnectionClass = ConnectionQuality.UNKNOWN;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main);
imageLoader = ImageLoader.getInstance();
imageLoader.init(ImageLoaderConfiguration.createDefault(getBaseContext()));
mConnectionClassManager = ConnectionClassManager.getInstance();
mDeviceBandwidthSampler = DeviceBandwidthSampler.getInstance();
mRunningBar = (ProgressBar) findViewById(R.id.runnigBar);
mTextView = (TextView) findViewById(R.id.connectionClass);
mImageView = (ImageView) findViewById(R.id.imageView);
findViewById(R.id.testButton).setOnClickListener(DownloadImage);
mTextView.setText(mConnectionClassManager.getCurrentBandwidthQuality().toString());
mListener = new ConnectionChangedListener();
findViewById(R.id.upload).setOnClickListener(UploadImage);
findViewById(R.id.vdButton).setOnClickListener(PlayVideo);
}

@Override
protected void onPause() {
super.onPause();
mConnectionClassManager.remove(mListener);
}

@Override
protected void onResume() {
super.onResume();

mConnectionClassManager.register(mListener);
}
String connectionQuality=null;

private class ConnectionChangedListener
implements ConnectionClassManager.ConnectionClassStateChangeListener {

@Override
public void onBandwidthStateChange(ConnectionQuality bandwidthState) {
mConnectionClass = bandwidthState;
runOnUiThread(new Runnable() {
@Override
public void run() {

connectionQuality = mConnectionClass.toString();
switch (connectionQuality){
case “POOR”:
double val1 = mConnectionClassManager.getDownloadKBitsPerSecond();
mTextView.setText(“Quality is “+connectionQuality+” “+val1 +” and Bandwidth under 150 kbps so poor quality Image downloaded”);
android.support.design.widget.Snackbar.make(findViewById(R.id.main),”Quality is “+connectionQuality+ val1 +”\n and Bandwidth under 150 kbps so poor\n quality image is downloading”, android.support.design.widget.Snackbar.LENGTH_LONG).show();
new DnloadImage().execute(“http://storage.googleapis.com/ix_choosemuse/uploads/2016/02/android-logo.png”); // 80 kb
break;

case “MODERATE”:
double val2 = mConnectionClassManager.getDownloadKBitsPerSecond();
mTextView.setText(“Quality is “+connectionQuality+” “+val2 +” and Bandwidth between 150 to 550 kbps so moderate quality Image downloaded”);
android.support.design.widget.Snackbar.make(findViewById(R.id.main),”Quality is “+connectionQuality+ val2 +”\n and Bandwidth between 150 to 550 kbps so moderate\n quality Image is downloading”, android.support.design.widget.Snackbar.LENGTH_LONG).show();
new DnloadImage().execute(“http://static.giantbomb.com/uploads/original/15/157771/2312725-a10.jpeg”); // 454 kb
break;

case “GOOD”:
double val3 = mConnectionClassManager.getDownloadKBitsPerSecond();
android.support.design.widget.Snackbar.make(findViewById(R.id.main),”Quality is “+connectionQuality+ val3 +”\n and Bandwidth between 550 to 2000 kbps so good\n quality Image is downloading”, android.support.design.widget.Snackbar.LENGTH_LONG).show();
mTextView.setText(“Quality is “+connectionQuality+” “+val3 +” and Bandwidth between 550 to 2000 kbps so good quality Image downloaded”);
new DnloadImage().execute(“http://techclones.com/wp-content/uploads/2013/09/Best-Dark-HD-Wallpaper-Android1.png”); // 1.04 mb
break;

case “EXCELLENT”:
double val4 = mConnectionClassManager.getDownloadKBitsPerSecond();
mTextView.setText(“Quality is “+connectionQuality+” “+val4 +” and Bandwidth over 2000 kbps so excellent quality Image downloaded”);
android.support.design.widget.Snackbar.make(findViewById(R.id.main),”Quality is “+connectionQuality+ val4 +”\n and Bandwidth over 2000 kbps so high\n quality Image is downlaoding”, android.support.design.widget.Snackbar.LENGTH_LONG).show();
new DnloadImage().execute(“http://static.giantbomb.com/uploads/original/15/157771/2312721-a7.png”); // 2.49 mb
break;

case “UNKNOWN”:
mTextView.setText(“Sorry we are getting nothing”);
break;
}
}
});
}
}

private final View.OnClickListener DownloadImage = new View.OnClickListener() {
@Override
public void onClick(View v) {
mRunningBar.setVisibility(View.VISIBLE);
mTries=0;
String quality = mConnectionClass.toString();
Toast.makeText(MainActivity.this, “Quality ->”+quality, Toast.LENGTH_SHORT).show();
new DnloadImage().execute(“”);
}
};

private final View.OnClickListener UploadImage = new View.OnClickListener() {
@Override
public void onClick(View v) {
//showFileChooser();
Intent intent = new Intent(MainActivity.this, UplaodActivity.class);
startActivity(intent);
}
};

private final View.OnClickListener PlayVideo = new View.OnClickListener() {
@Override
public void onClick(View v) {
Intent intent = new Intent(MainActivity.this, VideoActivity.class);
startActivity(intent);
}
};

private class DnloadImage extends AsyncTask<String, Void, Bitmap> {

@Override
protected void onPreExecute() {
mDeviceBandwidthSampler.startSampling();
mRunningBar.setVisibility(View.VISIBLE);
}

@Override
protected Bitmap doInBackground(String… url) {
String imageURL = url[0];
try {
ByteArrayInputStream byteArrayInputStream;
// Bitmap bitmap;
URLConnection connection = new URL(imageURL).openConnection();
connection.setUseCaches(false);
connection.connect();
InputStream input = connection.getInputStream();

try {
Bitmap bitmap = BitmapFactory.decodeStream(input);
return bitmap;
} finally {
input.close();
}
} catch (IOException e) {
Log.e(TAG, “Error while downloading image.”);
}
return null;
}

@Override
protected void onPostExecute(Bitmap bp) {
mDeviceBandwidthSampler.stopSampling();
Toast.makeText(MainActivity.this,””+mTries,Toast.LENGTH_SHORT).show();

if (mConnectionClass == ConnectionQuality.UNKNOWN && mTries < 10) {
mTries++;
new DnloadImage().execute(“https://familysearch.org/learn/wiki/en/images/9/9d/Links-Folder-icon.png”);
}
if (!mDeviceBandwidthSampler.isSampling()) {
mImageView.setImageBitmap(bp);
//imageLoader.getInstance().displayImage(mURL,mImageView);
mRunningBar.setVisibility(View.GONE);

}
}
}
}[/blockquote_tc][/column_tc][/section_tc]

The main way to provide the ConnectionClassManager data is to use the DeviceBandwidthSampler. The DeviceBandwidthSampler samples the device’s underlying network stats, when you tell it you’re performing some sort of network activity (downloading photos, playing a video, etc).

To know more about the Network Connection Class and its implementation, feel free to say hello@mantralabsglobal.com. We would surely respond to your queries.

 

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Sales Applications Are Disrupting More Than Just Sales

Sales success today isn’t about luck or lofty goals—it’s about having the right tools in your team’s hands, wherever they go. Following our earlier in-depth exploration of sales technology, we will now examine how cutting-edge sales apps are becoming the backbone of modern industries, transforming complex workflows into seamless, growth-driving machines.

From retail to healthcare, logistics to real estate, businesses are deploying sales applications to enhance operational transparency, cut redundant tasks, and build intelligent sales ecosystems. These tools are not only digitizing workflows—they’re driving growth, improving engagement, and redefining how field teams operate.

Lead Ecosystems: Unified visibility across channels

One app. Five workflows. Zero friction.

A leading insurance brand relaunched their app—a sleek, powerful sales companion that’s turning everyday agents into top performers.

No more paperwork. More time to sell.

Here’s what changed:

  • Every visit is tagged, tracked, and followed through. Renewals? Never missed. Leads? Fully visible.
  • Attendance and reimbursements went on autopilot. No more manual logs. No more chasing approvals.
  • New business and renewals are tracked in real time, with accurate forecasting that sales leaders can finally trust.
  • Dashboards are clean, configurable, and useful—insights that move the business, not just report on it.
  • Seamless Integrations. API connectivity with Darwin Box, IMD Master Data, and SSO authentication for a unified experience.

The result? A field team that moves faster, sells better, and works smarter.

Retail: Taking Orders from the Frontline—Smartly

Field sales agents in retail, especially FMCG, used to rely on gut instinct. Now, with intelligent sales applications:

  • AI recommends what to upsell or cross-sell based on previous order patterns
  • Real-time stock availability and credit status are visible in the app
  • Geo-fencing ensures optimized route planning
  • Built-in payment collection modules streamline transaction closure

Healthcare: Structuring Sales with Compliance and Precision

Healthcare leaders don’t need more reports—they need better visibility from the field.  Whether it’s engaging hospital networks, onboarding clinics, or enabling diagnostics at the last mile, everything needs precision, compliance, and clarity. 

Mantra Labs helped a leading healthcare enterprise design a sales app that integrates knowledge, compliance, performance, and recognition, turning frontline agents into informed, aligned, and empowered brand advocates. 

Here’s what it delivers:

  • Role-based onboarding that keeps every level of the field force aligned and accountable
  • Escalation mechanisms are built into the system, driving transparency across commissions and performance reviews
  • A centralized Knowledge Hub featuring healthcare news, service updates, and training modules to keep reps well-informed
  • Recognition modules that celebrate milestones, boost morale, and reinforce a culture of excellence

Now, the field agents aren’t just connected—they’re aligned, upskilled, and accountable.

Real Estate: From Cold Calls to Smart Conversions

For real estate agents, timing and personalization are everything. Sales applications are evolving to include:

  • Virtual site tour integration for remote buyers
  • Mortgage and EMI calculators to increase buyer confidence
  • WhatsApp-based lead capture and nurture sequences
  • CRM integration for inventory updates and automatic scheduling

Logistics: From Chaos to Control in Field Coordination

Field agents in logistics are switching from clipboards to real-time command centers on mobile. Modern sales applications offer:

  • Live delivery status and route deviation alerts
  • Automated dispute reporting and issue resolution tracking
  • Fleet coordination through integrated GPS modules
  • Customer feedback capture and SLA dashboards

What’s new & what’s next in Sales Applications?

Here’s what’s pushing the next wave of innovation:

  • Voice-to-Text Logging: Agents dictate notes while on the move.
  • AI-Powered Nudges: Apps that suggest next-best actions based on behavior.
  • Omnichannel Communication: In-app chat, WhatsApp, email—unified.
  • Role-Based Dashboards: Different data views for admins, managers, and field reps.

What does this mean for Business Leaders?

Sales Applications are not just tactical tools. They’re platforms for transformation. With the right design, integrations, and analytics, they:

  • Replace guesswork with intelligence
  • Reduce the cost of delay and manual labor
  • Improve agent accountability and transparency
  • Speed up decision-making across hierarchies

The future of field sales lies in intuitive, AI-driven applications that adapt to every industry’s nuances. At Mantra Labs, we work closely with enterprises to custom-build sales applications that align with business objectives and ground-level realities.

Conclusion: 

If your agents still rely on Excel trackers and daily call reports, it’s time to reimagine your sales operations. Let us help you bring your field operations into the future—with tools that are fast, field-tested, and built for scale.

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