When we built PackRide - a real-time GPS tracking app for motorcycle group rides - the biggest technical challenge was not accuracy or latency. It was battery life. A phone draining in two hours is a safety hazard, not a feature.
The naive approach fails
The obvious implementation polls GPS every second and pushes to the server. On a modern phone, this drains about 40% battery per hour. For a ride that lasts 4-6 hours, that is unacceptable.
Adaptive polling
The solution is adaptive polling frequency based on context. At highway speeds, GPS updates every 3-5 seconds - enough for smooth map rendering. In city traffic with frequent stops, updates every 8-10 seconds. When stopped (detected via accelerometer), updates pause entirely and resume on motion.
This single optimization dropped battery consumption from 40% to under 12% per hour.
Geofencing over continuous tracking
For features like scenery zone camera triggers, we use geofencing instead of continuous location checks. The OS wakes the app when entering or exiting a defined zone, rather than the app constantly checking its position. This is virtually free in terms of battery.
Background service architecture
On Android, we use a foreground service with a persistent notification - this keeps the OS from killing the tracking process. On iOS, we use significant location changes combined with a background task for the real-time relay. Both platforms have different rules about what background services can do, and respecting those rules is critical for both battery life and app store approval.
The result
PackRide achieves under 12% battery per hour with sub-5-second map latency and sub-3-second critical alert delivery. The key was not a single optimization but a system of context-aware decisions about when and how often to use the GPS radio.