Feeling drained? Five Common Power Mistakes That Can Shorten IoT Device Lifespans

Whether it’s a smart meter expected to operate for more than a decade or a remote sensor designed to be maintenance-free, battery life is headline specification for IoT devices.

According to IoT Analytics’ State of Enterprise IoT 2026 report, the number of connected IoT devices worldwide reached 21.1 billion by the end of 2025, growing 13% year over year. As deployments continue to scale, maximizing battery life becomes increasingly important to reduce maintenance costs, and to support more reliable and sustainable IoT systems.

But sometimes devices fall short of these promised lifespans, and often it’s because the power was considered in isolation rather than as part of the overall system design.

Power consumption is shaped by everything from environmental conditions and wireless connectivity to testing methodology and component selection. If you understand and plan for those parameters correctly, batteries can achieve the longevity they were designed for. Get them wrong, and a battery’s capacity can disappear much faster than expected. And we all know how performances suffers when you’re drained!

Here are five common mistakes that can quietly shorten the lifespan of an IoT device.

1.Designing for perfection rather than the real world (which isn’t perfect)

Laboratories are wonderfully predictable.

Remote industrial sites, agricultural fields, railways, and smart cities are anything but.

It’s easy for prototype and early-development power models to assume stable temperatures, reliable network coverage, and consistent device usage, but deployed devices rarely enjoy such ideal conditions.

A sensor installed outdoors may experience freezing winters and scorching summers (and this may differ a lot across a whole fleet). Equipment operating underground or inside industrial facilities may struggle with weak signals. Humidity, vibration, and changing environmental conditions all influence how both the device and its battery behave over time.

These variables don’t simply reduce battery capacity; they can also change energy consumption patterns. A device working harder to maintain communications or operating outside its optimal temperature range may consume considerably more power than anticipated.

That’s why deployment-specific validation is so valuable. Testing hardware in conditions that closely resemble its intended environment often reveals issues that would never appear on a laboratory bench.

2.Letting connectivity quietly consume the power budget

Communications are frequently the largest energy consumer in an IoT device.

Every transmission requires power, and those costs quickly add up. More frequent updates naturally increase consumption, but there are other hidden drains too. Weak signal, for example, can force repeated transmission attempts.

Different communication technologies also bring different power characteristics. LPWAN (Low-Power Wide-Area Network) technologies may support extremely long battery life for infrequent, low-volume messages, while cellular or satellite connectivity can demand significantly higher energy budgets depending on how they’re used.

And yes, that means finding the right battery for each device based on its connectivity. Fortunately, our IoT Smart Selector is an ideal starting point for developers. The online tool allows you to simulate the impact of different connectivity choices on your device’s consumption profile, and what that means for battery selection.

3.Peaky blinded: focusing on average power instead of peak demand

Average power consumption tells only part of the story.

Like a housecat with ‘zoomies’, many IoT devices experience short but demanding bursts of activity. Wireless transmissions, processor startup events, or actuator movements may last only milliseconds, yet require substantially higher current than ‘normal’ operation.

A battery may appear perfectly adequate when viewed through its average energy consumption, but then struggle to deliver these short, high-current pulses. The result can be unexpected voltage drops and unreliable performance.

This is why battery capacity should never be considered in isolation. Peak current capability, internal resistance, and the device’s complete profile all influence whether a battery is genuinely suitable for the application – or if it’ll fail to step up when needed.

Understanding what happens during those brief moments of maximum demand often reveals challenges that average power calculations simply don’t capture.

4.“But it worked in dev!”: Testing the prototype rather than the lifetime

There’s a world of difference between proving that a prototype works today and demonstrating that it will still work ten years from now.

Short-term testing can confirm functionality, but it rarely captures the gradual effects of battery aging, self-discharge, environmental exposure, or changing operating conditions. A device that performs flawlessly over several weeks may behave very differently after years of deployment.

Accelerated lifecycle testing and environmental simulation help bridge that gap. By exposing devices to temperature cycling, varying humidity, vibration, and repeated operating scenarios, engineers can identify weaknesses long before products reach the field.

Equally important is testing edge cases rather than only nominal conditions. Unexpected communication retries, extended periods of poor network coverage, or unusual operating patterns often reveal the scenarios where power budgets begin to unravel.

For batteries, a good datasheet should give insight into what to expect. At Saft, we put our range of batteries through rigorous testing so you can have confidence that they’ll meet the long-term performance needs of your device.

5. Treating the battery as just another component (spoiler alert, it’s not)

It can be tempting to view batteries as interchangeable components selected primarily by capacity or price. In reality, the battery is often one of the most influential design decisions in the entire device.

Different battery chemistries bring different strengths. Some excel in extreme temperatures, while others prioritize high pulse capability, long shelf life, or exceptionally low self-discharge. Selecting the right chemistry depends entirely on the application’s operating environment and performance requirements.

Thinking of the battery as part of the complete system, rather than a commodity component, will lead to better decisions from the very beginning of development.

Designing for longevity starts with the whole system

Long-lasting and reliable IoT devices are the result of hundreds of thoughtful engineering decisions that collectively reduce unnecessary power consumption and improve reliability.

Selecting the right power source for the application is a key part of helping devices meet their promised life span in the real world. So rather than feeling drained, they’ll be going strong for years!