Data Converter Design Space Exploration for IoT Applications: An Overview of Challenges and Future Directions
Buddhi Prakash Sharma, Anu Gupta, Chandra Shekhar

TL;DR
This paper reviews the challenges and future directions in designing energy-efficient data converters for IoT applications, emphasizing the importance of low power consumption and high performance in sensor data processing.
Contribution
It provides an overview of the design space, challenges, and future research directions for data converters in IoT, highlighting the need for energy-efficient solutions.
Findings
Data converters are critical for IoT sensor data acquisition.
Power consumption is a major challenge in IoT data converter design.
Future directions include developing low-power, high-resolution data converters.
Abstract
Human lives are improving with the widespread use of cutting-edge digital technology like the Internet of Things (IoT). Recently, the pandemic has shown the demand for more digitally advanced IoT-based devices. International Data Corporation (IDC) forecasts that by 2025, there will be approximately 42 billion of these devices in use, capable of producing around 80 ZB (zettabytes) of data. So data acquisition, processing, communication, and visualization are necessary from a functional standpoint. Indicating sensors & data converters are the key components for IoT-based applications. The efficiency of such applications is truly measured in terms of latency, power, and resolution of data converters motivating designers to perform efficiently. Sensors capture and covert physical features from their chosen environment into detectable quantities. Data converter gives meaningful information…
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Taxonomy
TopicsCCD and CMOS Imaging Sensors · Sensor Technology and Measurement Systems · Radiation Effects in Electronics
