Android Location Best Practices: The Definitive Guide to Fused Location & Battery Optimization
Why raw GPS is obsolete and how to implement battery-efficient, sensor-fused location updates in modern Android.
Master modern Android location development. This definitive guide covers Fused Location Provider, background execution limits, battery optimization, callbackFlow architecture, and permission handling.
In the early days of Android development, getting a device’s location felt like a gamble between precision and battery life. Developers manually toggled GPS_PROVIDER or NETWORK_PROVIDER via the old LocationManager, often leading to "battery shaming" notifications and inconsistent user experiences.
In the modern Android ecosystem, manual provider management is no longer just “legacy” — it is a liability. High-performance development requires a shift toward the Fused Location Provider (FLP). In a privacy-first, battery-conscious world, intelligent location architecture is a competitive advantage.
1. Why LocationManager is Obsolete (mostly)
When you hardcode LocationManager.GPS_PROVIDER, you force the GNSS chip to stay active. This chip is a power-hungry component that requires a clear line of sight to satellites and constant CPU cycles for trilateration. If the user moves indoors, the GPS fails, but the battery drain continues.
Comparison: LocationManager vs. Fused Location Provider

2. Implementing the Fused Location Provider
The FLP acts as a “broker” for the device’s sensors. It doesn’t just use GPS; it uses Sensor Fusion — combining the accelerometer, gyroscope, Wi-Fi, and cell signals to provide a seamless location stream.
Modern Kotlin Implementation
Using the LocationRequest.Builder allows you to define your needs declaratively. This approach follows Android location API best practices by prioritizing battery optimization.
// ✅ The Modern Standard: Priority-based location requests
val locationRequest = LocationRequest.Builder(
Priority.PRIORITY_BALANCED_POWER_ACCURACY,
10_000L // Interval: 10 seconds
).apply {
setMinUpdateIntervalMillis(5_000L) // Fastest interval handled by app
setWaitForAccurateLocation(false) // Prioritize coarse fix over GPS delay
setMaxUpdateDelayMillis(20_000L) // Batch updates to save radio power
}.build()
fusedLocationClient.requestLocationUpdates(
locationRequest,
locationCallback,
Looper.getMainLooper()
)3. Advanced Architecture: The callbackFlow Pattern
For a production-grade app, location logic should be decoupled from the UI. Instead, use a Lifecycle-Aware Repository Pattern. Using callbackFlow allows you to treat location updates as a modern Kotlin Coroutine stream.
Recommended Architecture Pattern:
- Repository: Wraps the
FusedLocationProviderClientand emits aFlow<Location>. - ViewModel: Collects the location and updates a
UIState. - UI: Observes the state (e.g., via Compose
collectAsStateWithLifecycle).
/**
* Senior Developer Tip: Use callbackFlow for clean lifecycle management.
* It automatically removes updates when the flow collector is cancelled.
*/
fun observeLocationUpdates(): Flow<Location> = callbackFlow {
val callback = object : LocationCallback() {
override fun onLocationResult(result: LocationResult) {
result.lastLocation?.let { trySend(it) }
}
}
fusedClient.requestLocationUpdates(request, callback, Looper.getMainLooper())
awaitClose {
// Essential: Prevent memory leaks and battery drain
fusedClient.removeLocationUpdates(callback)
}
}4. Real-World Case Studies
Case A: Fitness Tracking (e.g., Run Trackers)
- Priority:
PRIORITY_HIGH_ACCURACY. - Usage: Requires precise GPS for pace/distance calculation.
- Architecture: Must use a Foreground Service with
foregroundServiceType="location".
Case B: E-commerce “Find Nearest Store”
- Priority:
PRIORITY_BALANCED_POWER_ACCURACY. - Usage: Needs block-level accuracy (100m).
- Battery Win: Saves significantly on battery by avoiding constant GPS activation.
Case C: Passive Social Check-ins
- Priority:
PRIORITY_PASSIVE. - Usage: App “hitchhikes” on location updates requested by other apps.
- Battery Win: Effectively zero extra drain for your app.
5. Navigating Modern Background Restrictions
Recent Android versions introduce stricter foreground service audits and background throttling. Even with a Foreground Service, the OS may throttle frequency if it detects excessive radio wake-ups.
- Foreground Service Audit: You must declare your service type in the Manifest and justify it to the Play Store.
- Approximate vs. Precise: Always ensure your app works if the user only grants “Approximate” access. Requesting
ACCESS_FINE_LOCATIONtriggers a dual-option dialog; if you don't handle the "Approximate" choice, your UX will break. - GNSS vs. GPS: FLP abstracts the difference, but raw GNSS data is only accessible via
LocationManager—a rare requirement for specialized surveying or diagnostic apps.
The “Golden Rules” Checklist
Before you ship, run this audit:
- [ ] Stop on Stop: Are you calling
removeLocationUpdates()when the feature is hidden? - [ ] Handle Battery Saver: Does your app gracefully handle degraded accuracy when Battery Saver is on?
- [ ] Check Settings: Use the
SettingsClientto ensure location services are enabled before requesting. - [ ] Interval Logic: Is your interval at least 1–2 minutes for background tasks?
🙋♂️ Frequently Asked Questions (FAQs)
Does Fused Location work without an internet connection?
Yes. It fallbacks to the GNSS chip. However, your “Time to First Fix” will be slower because the device cannot download A-GPS (Assisted GPS) data from the cloud.
Why is my background location being throttled?
Modern Android versions enforce background throttling to protect battery life. If you need frequent updates, you must use a properly declared Foreground Service with a visible notification.
What happens if a user grants “Only This Time”?
The permission expires once your app is closed. Always re-check permissions in onResume() to ensure your location flow remains active.
Final Takeaway
Modern location development is not about getting the most accurate coordinates — it’s about earning user trust. By using the Fused Location Provider, respecting privacy choices, and optimizing for battery, you build an app that users keep installed.
💬 Questions for the Community:
- Have you noticed a drop in “High Battery Usage” complaints since switching to
PRIORITY_BALANCED? - How are you handling the “Only This Time” permission flow in your UI?
- What architecture patterns are you using to manage location across multiple features?
Let me know in the comments below!
Reference Materials
- Google Developers: Official Location Best Practices Guide
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