Abstract
The necessity of Energy Autonomous Devices (EAD) has recently emerged in wireless consumer electronics owing to their escalating performance demands. Most of these devices require higher performance at extremely low energy consumption. For instance, an EAD might process a highly computationally intensive algorithm (i.e. Deep/Convolution Neural Network) within a very short period of time. The embedded micro-controller of the EAD is responsible for this task. Although the rapid evolution of semiconductor technologies satisfies this performance need, operating the end devices for a reasonable energy budget has become a daunting task. The portable, batterypowered, and ubiquitous Internet of Things (IoT) vigorously rely on the lifetime of the energy source and therefore, energy efficiency has become the primary design goal in their recent implementation.
As the name implies, EAD is a device that sustains as long as possible under known or unknown environmental conditions, processing the information without being connected to the energy grid. A wireless transponder that can be mounted on vehicles is a prime example for an EAD, which informs the presence of the aggressive vehicles to the vulnerable road-users (children, disabled people, etc.) next to them. The EADs are heterogeneous by their nature; meaning, a single unit is composed of a processor, communication blocks, a radio system and power management. Therefore the energy efficiency can be exploited beyond the focal processing block, leading to energy savings in multiple abstraction levels. However, this potential strongly depends on the nature of the application of interest and might limit this gain for general-purpose end-use. i.e. A general-purpose micro-controller cannot be used energy efficiently for many different applications.
EADs are in dire need of application-independent strategies to achieve a reasonable performance against their stringent energy budget. Hence this inevitably limits the energy-saving possibility to the lowest level of abstraction of the design space, the digital CMOS circuits or in other words, MOSFET transistors. Since there is no notion of the application context at this transistor level, any energy efficient solution provided within this scope is application independent. Such miniaturized CMOS circuits (𝜇m/nm level) that can be used for electronic design automation are called standard cells. In the industry, they are usually available as commercial IP packages. However, a tailored version for ultra-low-energy operation too can be introduced with our own engineering effort.
The best analogy that can be given related to this context is a bridge that was constructed using LEGO blocks. Instead of using the existing ones, we envision for a smart solution by making these LEGO blocks light weight, without compromising their strength. Therefore, the bridge constructed from these new blocks is as strong as the older one, but lighter! On top of that, these LEGO blocks can be used to design bridges in many different shapes, without being worried about their application use. Similarly, we envision an energy-efficient standard cell library with custom, tailored cell templates without compromising their performance. We have re-engineered the transistor arrangement in each cell to make them more compact, energy efficient, preserving the robustness of operation. This is analogous to tweaking the individual LEGO blocks for their light weight use.
As the name implies, EAD is a device that sustains as long as possible under known or unknown environmental conditions, processing the information without being connected to the energy grid. A wireless transponder that can be mounted on vehicles is a prime example for an EAD, which informs the presence of the aggressive vehicles to the vulnerable road-users (children, disabled people, etc.) next to them. The EADs are heterogeneous by their nature; meaning, a single unit is composed of a processor, communication blocks, a radio system and power management. Therefore the energy efficiency can be exploited beyond the focal processing block, leading to energy savings in multiple abstraction levels. However, this potential strongly depends on the nature of the application of interest and might limit this gain for general-purpose end-use. i.e. A general-purpose micro-controller cannot be used energy efficiently for many different applications.
EADs are in dire need of application-independent strategies to achieve a reasonable performance against their stringent energy budget. Hence this inevitably limits the energy-saving possibility to the lowest level of abstraction of the design space, the digital CMOS circuits or in other words, MOSFET transistors. Since there is no notion of the application context at this transistor level, any energy efficient solution provided within this scope is application independent. Such miniaturized CMOS circuits (𝜇m/nm level) that can be used for electronic design automation are called standard cells. In the industry, they are usually available as commercial IP packages. However, a tailored version for ultra-low-energy operation too can be introduced with our own engineering effort.
The best analogy that can be given related to this context is a bridge that was constructed using LEGO blocks. Instead of using the existing ones, we envision for a smart solution by making these LEGO blocks light weight, without compromising their strength. Therefore, the bridge constructed from these new blocks is as strong as the older one, but lighter! On top of that, these LEGO blocks can be used to design bridges in many different shapes, without being worried about their application use. Similarly, we envision an energy-efficient standard cell library with custom, tailored cell templates without compromising their performance. We have re-engineered the transistor arrangement in each cell to make them more compact, energy efficient, preserving the robustness of operation. This is analogous to tweaking the individual LEGO blocks for their light weight use.
| Original language | English |
|---|---|
| Qualification | Doctor of Philosophy |
| Awarding Institution |
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| Supervisors/Advisors |
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| Award date | 6 Mar 2026 |
| Place of Publication | Enschede |
| Publisher | |
| Print ISBNs | 978-90-365-7056-5 |
| Electronic ISBNs | 978-90-365-7057-2 |
| DOIs | |
| Publication status | Published - 6 Mar 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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