# IoT Latency Calculator

IoT Latency Calculator## IoT latency is decided by the route, not the SIM. See what local breakout recovers.

Most IoT roaming traffic still rides home routed roaming — the device's packets are back-hauled to the SIM operator's home country before they ever reach your application. Local breakout terminates that traffic in-country or in-region instead, so IoT latency is driven by device-to-cloud distance, not by SIM nationality. Pick three locations below and FLOLIVE® will estimate the round-trip IoT latency you stand to recover.

Step 1 · Inputs#### Where are your devices, your cloud, and your home breakout?

Try a preset:Connected vehicles · BrazilSmart metering · IndiaIndustrial IoT · GermanyDevice deployment locationWhere are your IoT devices physically deployed?

Application or cloud locationWhich cloud region hosts the application?

Current home-routing breakoutWhere does your current SIM provider terminate traffic today?

Calculate latency Legacy home-routed path Local breakout Home routed roaming vs. local breakout### The two IoT roaming paths, defined — and why one of them quietly inflates your IoT latency.

| Aspect | Home routed roaming (legacy IoT roaming) | Local breakout (Flolive) |
| --- | --- | --- |
| Definition | Home routed roaming back-hauls every IoT roaming packet to the SIM's home country before it reaches the application. | Local breakout terminates device traffic in-country or in-region, then reaches the application through the shortest viable path. |
| Typical data path | Device → home breakout → application → home breakout → device | Device → local breakout → application → local breakout → device |
| IoT latency profile | Often 200–400 ms of avoidable round-trip IoT latency, depending on geography. | Round-trip IoT latency is driven by device-to-cloud distance, not by SIM nationality. |
| Compliance posture | Traffic crosses borders to reach the home network. Potential data-sovereignty exposure. | Local or regional exit. Aligns more cleanly with data-residency requirements. |
| Best fit | Low-frequency telemetry where seconds matter, not milliseconds. | Real-time control, AI inference at the edge, video, and regulated IoT workloads. |

FAQ### Frequently asked questions

What is IoT latency?IoT latency is the round-trip time a packet takes between an IoT device and the application that consumes its data. It is the sum of three things: the radio leg between the device and the cell tower, the network leg between the carrier and the application's cloud region, and the processing overhead on either end. The network leg is the part that most IoT roaming deployments leave on the table.What is home routed roaming in IoT?Home routed roaming is the default routing model for most international IoT roaming SIMs. Device traffic is back-hauled to the SIM operator's home country before it is forwarded to the application server, even when the device and the application sit in the same region. The detour is invisible on the bill and shows up directly in IoT latency.What is local breakout?Local breakout terminates device traffic in-country or in-region — so a device in São Paulo talking to a São Paulo cloud region reaches it directly, instead of being routed via London or Frankfurt first. The result is lower IoT latency, fewer cross-border hops, and a cleaner data-residency story than legacy IoT roaming.What is the difference between home routed roaming and local breakout?Home routed roaming sends every IoT roaming packet back to the SIM's home country before forwarding it to the cloud. Local breakout terminates that same traffic in-country or in-region, so the device reaches the application through the shortest viable path. Same SIM, same coverage, very different IoT latency.Why does IoT roaming increase IoT latency?IoT latency is dominated by physical distance. Light through fiber covers roughly 200 kilometres per millisecond, and real routes are 30–80% longer than the great-circle distance. Every extra thousand kilometres of home routed roaming detour adds about 5–8 ms of round-trip time before any processing overhead is counted.Does local breakout reduce IoT latency in every country?Local breakout reduces IoT latency wherever the local-exit point is closer to the application than the SIM's home country. For most cross-region deployments — a Brazilian device hitting AWS sa-east-1, or a Mumbai device hitting Azure Central India — local breakout removes hundreds of milliseconds of avoidable round-trip. For a device that already sits in the SIM's home market, the savings are smaller.Is this a live ping test?No. The calculator estimates round-trip IoT latency from great-circle distance, a standard fiber-propagation approximation, a routing-inefficiency factor, and a fixed network overhead. It is an educational comparison, not a measurement of your live network.How accurate is the IoT latency calculator?For physical-distance IoT latency, the estimates fall within a few tens of milliseconds of real-world measurements on well-peered routes. The estimates do not account for carrier congestion, radio conditions, private interconnects, or cloud-side processing. Treat the output as directional, not as an SLA.When does local breakout matter most?Real-time IoT use cases — connected-vehicle telematics, robotics, industrial control, security cameras, AI inference at the edge — where every 100 ms of round-trip changes whether the application is responsive. Local breakout also matters wherever data-residency rules constrain where IoT roaming traffic is allowed to be terminated.#### How is this calculated?

×**Formula:** for each path, the calculator measures the great-circle distance between every leg, doubles it (round trip), multiplies by a routing-inefficiency factor, divides by the fiber-propagation speed, and adds a fixed network overhead.

`Distance = 2 × ( D(Device, Breakout) + D(Breakout, Application) ) Latency = (Distance × 1.5) / 200 + 40 ms`**Constants used in this POC:**

- Fiber propagation speed: 200,000 km/s (200 km/ms).
- Routing-inefficiency factor: 1.5 — fiber rarely follows a straight great-circle line.
- Base network overhead: 40 ms — RAN, core, processing, and application overhead.

**Disclaimer:** latency estimates are based on great-circle distance, a standard fiber-propagation approximation, a routing-inefficiency factor, and a fixed network overhead. Actual latency depends on carrier routing, congestion, radio conditions, cloud region, private networking, and the final Flolive architecture. This is an educational comparison, not a measured SLA or a guarantee of network performance.