Power-efficient positioning for the Internet of Things
Information from European GNSS Agency
The European GNSS Agency (GSA) has published a white paper on “Power-efficient positioning for the Internet of Things”, providing an overview of GNSS technologies that are relevant for low-power IoT applications, including those that require hybridisation with other connectivity solutions.
With millions of moving interconnected devices in the IoT environment, many applications require or benefit from knowing the location of an individual device. The white paper looks at how GNSS-based positioning for the IoT can be made more power-efficient, to meet the needs of this growing market.
GNSS is a viable solution for tracking objects in the IoT. However, the power consumed by positioning is a concern. Two basic approaches have emerged in recent years to optimise consumption: transmission of pseudoranges for remote position determination, and snapshot techniques. In the first of these, the power consumption related to determining position is saved by transmitting the measurements to an external facility with no power restrictions while, for the second, the GNSS receiver is only activated for short periods to determine the position.
Combining both approaches will decrease the power consumption even further but, ultimately, the optimal solution will depend on the application in question. “When deciding on a GNSS-based solution for a given application, numerous factors play a role including target accuracy, selected LPWAN, desired battery life, ease of integration, and hardware and implementation cost,” reads the report.
The white paper also advises applications that require a position accuracy of 1 m or less to use a multi-constellation, multi-frequency receiver. “However, as most low-power IoT applications prioritise extending battery life, a multi-constellation single-frequency receiver is sufficient when positioning accuracy of multiple metres is acceptable,” it notes. It also states that, when deciding on an energy-efficient GNSS technique, the choice of the terrestrial network limits the possible options, as most solutions rely on external data to determine the position via GNSS.
Read the full white paper.