Skip to main content
Engineering Notes

GNSS + LoRa vs. GNSS + LTE-M for Animal Tracking

A note on two different problems that get conflated in animal-tracking marketing copy — and how to actually choose between them.

"GPS vs. LoRa" is a common framing in animal-tracking product copy, but it compares two things that solve entirely different problems. GNSS (GPS, Galileo, GLONASS, and BeiDou are all GNSS constellations) determines where a device is by receiving timing signals from satellites and computing a position fix. It does not transmit anything to anyone — it is a receive-only process that happens entirely on the device. LoRa, by contrast, is a communication radio: its job is to get that position fix (or any other data) off the device and somewhere useful, such as a phone app or a cloud dashboard. A tracker needs both — a way to know where it is, and a way to report it — and they are independent design decisions.

The real decision: which radio reports the fix?

Once a device has a GNSS position, it needs a communication link to send it out. For animal trackers, the two most common choices are LoRa (usually as LoRaWAN, the network-layer protocol maintained by the LoRa Alliance) and LTE-M (LTE Cat-M1, a low-power cellular IoT standard defined by 3GPP starting in Release 13). Both are built for infrequent, small-payload reporting — a GPS fix is a handful of bytes — rather than continuous streaming, which keeps power consumption manageable for a battery-powered collar or tag.

LoRa / LoRaWAN

LoRa operates in unlicensed ISM radio bands (863–870 MHz in the EU, 902–928 MHz in the US, with regional variations elsewhere) and is typically deployed in a star topology, where devices send data to a gateway you own or a shared public network. Its practical advantages are low transmit-power draw and no recurring carrier data fees. Its limitation is coverage: a device is only reachable where a gateway is in range, which for open, line-of-sight terrain is often described as several kilometers, but drops substantially with hills, trees, or buildings in the path. Unlicensed-band regulations in many regions also impose duty-cycle limits on how often a device may transmit, which reinforces LoRa's fit for periodic, low-frequency reporting rather than near-continuous updates.

LTE-M

LTE-M rides on existing mobile carrier infrastructure, so coverage extends anywhere the carrier has a signal — no gateway to deploy or maintain. That convenience comes with a recurring cost: a SIM and a data plan per device, plus dependence on carrier coverage in the specific area animals range over (coverage gaps still exist in remote pasture or rangeland). Power consumption per transmission is generally higher than LoRa, though modern LTE-M modules narrow that gap significantly using Power Saving Mode (PSM) and extended Discontinuous Reception (eDRX), both defined in the 3GPP standard, which let the modem sleep deeply between scheduled check-ins with the network.

How to actually choose

  • Range relative to infrastructure. If animals stay within range of gateways you can place — a farm, a fixed grazing area — LoRa avoids recurring costs. If they roam beyond any infrastructure you control, LTE-M's carrier coverage is usually the only option that keeps working.
  • Cost structure. LoRa trades gateway capital cost and upkeep for near-zero per-message cost. LTE-M trades that upfront infrastructure for an ongoing per-device data plan — the right call depends on fleet size and how it's budgeted.
  • Coverage reality, not coverage maps. Rural cellular coverage maps are frequently optimistic; the same is true of assumed LoRa gateway range once real terrain and vegetation are accounted for. Either path benefits from an on-site link check before committing to a fleet-wide design.
  • Battery budget. For the same reporting frequency, LoRa transmissions typically draw less energy than an LTE-M check-in, which matters more as reporting frequency increases. At low reporting frequencies with PSM/eDRX tuned well, the gap narrows.

Neither technology is a GNSS substitute, and neither is universally "better" than the other — they answer different questions (how do I get data out?) than GNSS does (where am I?). The right combination — GNSS + LoRa or GNSS + LTE-M — depends on where the animals actually go relative to the infrastructure and coverage available there, and on how the cost is best structured for the fleet in question.

Have a specific range, terrain, or fleet-size question? Get in touch and we'll help you scope the right connectivity approach.

Scoping a Tracking Device?

Tell us about the animals, terrain, and infrastructure you're working with — we'll help you weigh the connectivity trade-offs.