Gabe Ferencz is an electrical engineer at Re:Build AppliedLogix with more than 20 years of experience spanning embedded firmware, real-time controls, FPGA development, and systems design. He is known for bridging hardware and software disciplines through a systems-level approach that combines deep technical expertise with practical product development insight.
Over the last decade, embedded systems have become dramatically more powerful and more complex. Processors are faster, peripherals are smarter, and devices are expected to do more than ever before, often while running solely on batteries for years at a time. For battery-powered IoT devices, meeting these stringent expectations requires balancing multiple design decisions, all guided by smart power management strategies grounded in a deep understanding of the underlying circuit characteristics.
In my experience working across both electrical engineering and firmware development, one of the biggest misconceptions teams have is believing that power optimization can be addressed later in the project. A product gets built, a proof of concept works, and then the assumption is, “We’ll clean up the power consumption afterward.”
Unfortunately, it rarely works that way.
Developing a power efficient design is not something that you can simply “add on” at the end. It has to be intentionally designed into the architecture from the beginning through thoughtful hardware design, and disciplined power management practices.
Modern embedded systems have far more going on “under the hood” than even five or ten years ago. Drivers are more complex. Communication stacks are heavier. Compute requirements continue to increase, especially with the rise of AI and edge processing. All of that complexity impacts energy consumption and complicates low power embedded design.
Even when the core processing devices support sophisticated low-power modes, there are still countless interactions between firmware, peripherals, clocks, communication buses, and power rails that determine whether a system actually achieves its target energy profile. That’s why low-power embedded system design must be optimized across both hardware and firmware.
A processor datasheet may claim ultra-low standby current, but in a real-world application, wake-up timing, communication latency, PLL lock times, and peripheral behavior all matter. You cannot evaluate power consumption in isolation; power management choices must be made at the system level.
That’s why I believe, for battery-powered IoT devices, low-power optimization is fundamentally a system-level problem that blends embedded hardware design with firmware architecture.
One of the most common failure modes that I see – teams underestimating how much effort low-power optimization actually requires. A product may appear nearly complete because it functions correctly. Program management sees a working proof-of-concept demonstration and assumes the team is 80% done. But if energy consumption hasn’t been architected correctly through low power embedded design, the product may only be 20% done.
At that point, fixing the issue often means:
These unplanned steps can add months to a schedule and significantly increase cost. I’ve seen products designed for years of life on a coin-cell fail in the field. The initial implementation worked functionally, but real-world energy consumption was much higher than anticipated. The team had to measure subsystem behavior, then redesign with proper power management techniques—a costly effort that an early low-power embedded system design approach would have avoided.
The best low-power systems come from close collaboration between the hardware and firmware teams. In larger organizations, disciplines can become siloed. Hardware gets designed and handed off to firmware, which then inherits constraints that can undermine battery-powered IoT device targets. Integrating and tightly coupling the embedded hardware design and firmware architecture early is the preferred approach.
When electrical engineers and firmware engineers collaborate early to discuss sleep states, wake-up timing, communication requirements, and system behavior, you can make smarter architectural decisions before problems become expensive. That collaboration enables effective low power embedded design and aligns with rigorous low-power design goals.
Without that systems-level understanding, teams often optimize the wrong things: shaving microamps in one area while milliamps leak elsewhere. The goal is not perfection everywhere; it’s identifying and then prioritizing design elements that deliver meaningful power savings for battery-powered IoT devices.
When evaluating an engineering partner, look for proven low-power embedded system design experience and how well disciplines work together. Successful outcomes require systems engineering, embedded hardware design, and firmware co-design, plus practical insight into tradeoffs in the field. A partner skilled in power-conscious embedded systems can reduce risk and accelerate delivery.
At Re:Build Applied Logix, we bring that balance: broad expertise across multiple domains and close-knit collaboration. That combination lets us approach optimization the right way by understanding the full system first, prioritizing the highest-impact opportunities, and designing intentionally from the beginning. In modern product design especially battery-powered IoT devices, power optimization isn’t a feature; it’s architecture driven by low power embedded design.
The most effective low-power embedded system designs start with system-level planning early in development. Common techniques include selecting energy-efficient processors, minimizing active time for peripherals, implementing deep sleep modes, optimizing communication timing, reducing clock speeds when full performance is unnecessary, and carefully managing subsystem wake-up behavior. Measuring power consumption at the subsystem level is also critical for identifying the largest energy drains.
Dynamic voltage and frequency scaling (DVFS) reduces processor power consumption by lowering clock speed and operating voltage during periods of reduced workload. Given that power consumption scales with voltage and frequency, then DVFS can dramatically improve energy efficiency in embedded devices without sacrificing full performance when higher compute power is required.
Processors, wireless communication modules, sensors, displays, memory devices, DC-DC voltage regulator topologies, and power-management ICs typically have the greatest impact on embedded system power consumption. In battery-powered IoT devices, radios such as Wi-Fi, Bluetooth, or cellular modules are often among the largest energy consumers. Firmware control of the IO peripheral interfaces can also significantly affect overall efficiency depending on the application architecture.
Firmware plays a major role in controlling energy consumption within embedded systems. Optimized firmware can reduce unnecessary processor wake-ups, minimize peripheral activity, improve task scheduling, shorten active processing time, and better manage low-power states. Efficient software architecture also helps ensure that communication buses, clocks, and external devices remain active only when necessary, extending overall battery life.
Low-power embedded system design often requires balancing the system’s latency / responsiveness, processing capability, communication speed, and battery life. Lower clock speeds and deeper sleep states reduce energy consumption but may increase wake-up latency or reduce real-time performance. Engineering teams must evaluate application requirements carefully to determine where performance can be reduced without negatively affecting the user experience or system reliability.
Fill out the form below and someone from the Re:Build AppliedLogix team will be in touch with you shortly.
Looking to connect with an experienced team?
Look no further than Re:Build AppliedLogix! We are excited to connect with you.
