What are long-range, low-power sensor networks?

What are long-range, low-power sensor networks?

Definition of long-range, low-power sensor networks

Long-range, low-power sensor networks are a type of wireless technology. They are systems of connected sensors that work over a large area using little power. This means that they have the benefits of wide-area mobile networks at a lower cost. They do not allow for large data transfers, so are not used for human communications (voice, video, and other communications that transfer large volumes of data). However, their capacity to connect devices across wide distances makes them useful for Internet of Things (IoT) technologies and other machine-to-machine communications.

Executive View

Long-range, low-power sensor networks can be deployed over large areas to collect data that can be analysed and developed into predictive models to drive strategic decisions. They can also be integrated into existing products to add intelligent features that will make them more appealing to users and to gather usage data to improve their performance over time. Long-range, low-power sensor networks help businesses:

  • develop smart, IoT products or integrate connectivity into existing products. - gather data across wide areas that can be used to develop better products and make better decisions through data science.

Business Function Leader View

Long-range, low-power sensor networks help teams to develop smart products, both by allowing the products to connect to other IoT technologies and by gathering data to make better decisions. If your business makes use of monitoring devices, implementing long-range, low-power sensor networks will improve the efficiency and accuracy of the devices’ data collection and reduce downtime. Monitoring devices are used in agriculture, for example, to assess yield. You may need this service if:

  • your industry makes use of monitoring devices.

  • you are developing products that would be improved by connectivity.

KPIs you should consider measuring for this are:

  • Lower downtime.

  • Improved products measured by increased sales and retention.

Technical View

Long-range, low-power sensor networks use narrow bandwidth transmissions to achieve long-range. They can be implemented at relatively low cost due to low-power (thanks to limited daily server communications) and use of unlicensed spectrum. The fact that the sensor networks are low-power also means that battery life can be ten years or more, saving resources.

Long-range, low-power sensor networks help deliver:

  • efficient and accurate usage data for your product.

  • improved performance.

  • connectivity over long distances and on unlicensed spectrum.

Get this service if you encounter:

  • high power usage.

  • issues with network range for your product or monitoring devices.

  • a high number of network gateways.

  • high costs of using licensed spectrum.

Key criteria to consider are:

  • How much data do you need to transmit and how frequently?

  • Where will your devices be located?

  • Will you need to add your own network/Gateways?

  • What are your target costs for setting up and maintaining the network?

  • How much autonomy do you require over your network?

Share :

Related Posts

Industry IoT, smart factories and AI in manufacturing

Industry IoT, smart factories and AI in manufacturing

The world of manufacturing is on the brink of another revolution due to the Internet of Things (IoT) and Artificial Intelligence (AI) applications. Aside from clear use cases like robotics and automation, big data applications are coming into play, thanks to industrial time series data collected by data historians. Thriving on all this data, AI systems can be built to send early warnings, optimise processes, predict maintenance and enforce quality control. By collecting the right data, manufacturers can get really creative with their AI solutions, and it can set them apart from the competition.

Read More
What is data collection?

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in an established system. Data collection helps businesses evaluate and improve internal operations, evaluate performance, solve business problems, better understand customers and how to serve them, and make better decisions.

Read More
What is data modeling?

What is data modeling?

Data modeling is the process of structuring and organising data as a map that clearly visualises data sources, transfers and relationships. Data modeling helps businesses build products that use data efficiently and meet business goals, empower teams to make data-driven decisions efficiently and manage large volumes of data.

Read More