Customers often ask us which indoor positioning system they should use for their iOS or Android apps. The honest answer: it depends. No single technology is best for every scenario. Your environment, use case, and infrastructure all play critical roles in determining the right solution.
You’ll need to weigh the trade-offs between cost, complexity, and accuracy. While “sub-meter accuracy” gets a lot of attention, it’s rarely essential. For most indoor navigation applications, 2–3 meter accuracy is more than sufficient.
Some use cases - like real-time location tracking in the background - present additional technical challenges that aren’t fully addressed here. This article focuses on comparing the technologies available to support indoor positioning on mobile devices.
Bluetooth 6.0’s Channel Sounding feature uses phase-based ranging and round-trip time to promise centimetre-level precision - a significant step beyond traditional RSSI-based approaches.
In practice, however, Channel Sounding hardware is only beginning to reach consumer devices, and real-world constraints (line-of-sight requirements, multipath distortion, scalability, and battery life) mean it isn’t yet viable for indoor mobile positioning at scale. Practical deployment will still require a hybrid approach combining BLE with inertial sensors - the same architecture Crowd Connected already uses. Worth watching, but not yet a replacement for proven methods.
Aruba’s Open Locate initiative is one of the more significant infrastructure-side developments. New access points attempt to auto-locate themselves using onboard GPS, with signal timing (FTMs) used to derive positions for non-GPS-enabled APs. More importantly, Aruba now exposes AP position data via an open API, allowing mobile apps to retrieve AP locations and use them for device positioning. This reduces setup effort and lays the groundwork for easier integration with third-party positioning solutions like Crowd Connected. Multi-floor support remains a limitation, but the direction of travel is encouraging.
Wi-Fi 802.11az (Next Generation Positioning) is progressing through standardisation. It shifts positioning back to the access point, using precise time-of-flight measurements for greater accuracy than the current 802.11mc standard. When finalised and widely supported, it could become a meaningful complement to BLE-based positioning - particularly for venues that already have modern Wi-Fi infrastructure.
Perhaps the most meaningful trend isn’t any single technology - it’s the growing expectation from venue operators and event organisers that indoor positioning should be as straightforward to deploy as any other digital service. No fingerprinting, no calibration walks, no specialist hardware beyond low-cost beacons.
Self-calibrating systems that adapt to changing environments are increasingly the baseline expectation rather than a differentiator. For organisations evaluating indoor positioning technology in 2026, the decision comes down to total cost of ownership, ease of deployment, and how well the solution handles real-world conditions - not theoretical accuracy specs.
Still the most widely adopted technology for low-cost deployments. When paired with inertial data from smartphones, Bluetooth beacons (BLE) can deliver 2–3 meter accuracy without requiring calibration or fingerprinting.
High-power BLE beacons now offer 100+ meter range indoors, increasing coverage and reliability. Crowd Connected’s solution continues to use BLE plus inertial data for accurate and scalable deployments.
Bluetooth AoA/AoD (Angle of Arrival/Departure) and the new channel sounding remain niche.
This technology is used by Crowd Connected.
Wi-Fi Round Trip Time (RTT), standardised in 802.11mc, allows devices to measure distance to APs using time-of-flight. This delivers sub-meter accuracy but is only supported by 30% of Android users - and not by iOS.
One-sided RTT, available since Android 12, eliminates the need for AP cooperation. It works with any AP, but range errors require heavy post-processing and calibration. Accuracy in ideal conditions is typically 3–5 meters.
Wi-Fi 802.11az (Next-Gen Positioning) Still in development, but promising. It shifts positioning back to the AP, leveraging precise time-of-flight for greater accuracy. When finalised, 802.11az could surpass 802.11mc, especially for infrastructure-based systems.
UWB offers impressive accuracy (sub-30 cm), but remains underutilised due to hardware costs, limited support (only premium iOS and Android models), and infrastructure requirements.
In real-world deployments, issues like beacon range, battery life, and scaling complexity often negate its theoretical advantages. For now, UWB is more useful for proximity detection than full-blown indoor positioning.
Accurate and secure, ultrasound has found niche applications, especially in healthcare. However, costs remain high, and lack of device integration hampers adoption. Sonitor remains the leading vendor in this space.
If you know the location of all the Bluetooth or WiFi transmitters, then signal strengths can be used to locate the mobile device.
The challenge of this approach is that signal strengths aren’t just affected by distance. They’re significantly affected by the environment, and by dynamically changing factors like how many people are present, and the model of smartphone in use.
Fingerprinting is one way of addressing the challenge of varying signal strengths. Every location in a building is visited, and the received signal strengths are measured in a calibration phase.
While enticing due to low infrastructure requirements, fingerprinting still suffers from high setup and maintenance costs. Solutions like IndoorAtlas and Polestar show promise, but consistency remains a challenge - especially across devices and OSs.
Fingerprinting is not a magic bullet. For many applications, hybrid approaches (BLE + inertial) outperform pure fingerprinting in cost, scalability, and ease of deployment.
Crowd Connected has developed an entirely different approach to dealing with varying signal strengths. A new, patented algorithm is able to continually optimise positioning, dynamically recalibrating as the environment changes.
| Technology | Accuracy | Smartphone Support | Notes |
|---|---|---|---|
| BLE + Inertial (Crowd Connected) | 2–5 m | Broad | Low cost, proven, scalable |
| Bluetooth Channel Sounding | ~1 m | Limited (future) | High potential, not yet practical |
| Wi-Fi RTT (802.11mc) | <1 m | Android only (~30%) | Requires AP support |
| One-sided Wi-Fi RTT | 3–5 m | Android 12+ | Works with all APs, less accurate |
| Fingerprinting | Varies | Android & iOS | Labour-intensive setup |
| UWB | <30 cm | Premium devices only | High cost, limited range |
| Ultrasound | <1 m | External beacons only | Accurate, not scalable |
| Wi-Fi 802.11az | TBD | Future | Could surpass RTT |
| Bluetooth AoA/AoD | <1 m | Not yet phone-compatible | High install complexity |
The best indoor positioning system for your project depends on what you’re trying to achieve, where you’re deploying, and what infrastructure you already have. Here’s a practical guide by use case.
Events and exhibitions: For conferences, trade shows, and festivals, you need something that can be deployed quickly in venues you don’t control. BLE beacons combined with inertial data are the clear choice - battery-powered hardware installs in hours, works across iOS and Android, and requires no venue cooperation beyond permission to place beacons. Crowd Connected routinely deploys this approach at two to three events per week across 100+ different venues globally.
Healthcare and hospitals: Accuracy matters, but so does coverage across entire buildings including corridors, wards, and outdoor areas. UWB is often considered but rarely practical at hospital scale due to cost and infrastructure requirements. BLE mesh networks offer whole-site coverage at a fraction of the cost, with accuracy sufficient for task assignment, compliance monitoring, and emergency response.
Smart buildings and offices: If you already have modern Wi-Fi access points (particularly Aruba or Cisco), Wi-Fi RTT can supplement BLE positioning. However, Wi-Fi-only solutions typically cover only the areas with access points, leaving gaps in stairwells, car parks, and ancillary spaces. A hybrid approach - BLE beacons filling gaps in Wi-Fi coverage - delivers the most reliable results.
Retail and visitor attractions: The priority here is understanding visitor flow and dwell patterns rather than pinpoint accuracy. BLE beacons with analytics provide the right balance of cost, coverage, and insight. The key requirement is that the system works without requiring visitors to do anything - no app downloads, no check-ins, no scanning.
For most organisations evaluating indoor positioning in 2026, the practical advice is: start with BLE + inertial, deploy quickly, and iterate based on real data. The technology that works reliably at scale, in the real world, will always outperform the one with the best spec sheet.
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