Low Hardware Complexity Filters for On-Chip Algorithm Used in Air Pollution Sensors for Dense Urban Areas in Smart Cities

The paper presents a method of transistor level implementation of a reconfigurable filter for the application in the algorithm responsible for processing air pollution data. The assumption of the proposed solutions is the realization of the algorithm that uses such filters directly in the wireless s...

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Bibliographic Details
Published in2020 27th International Conference on Mixed Design of Integrated Circuits and System (MIXDES) pp. 101 - 106
Main Authors Dlugosz, Zofia, Rajewski, Michal, Banach, Marzena, Talaska, Tomasz, Dlugosz, Rafal
Format Conference Proceeding
LanguageEnglish
Published Department of Microelectronics & Computer Science 01.06.2020
Subjects
Air pollution
Air pollution data processing
Air pollution sensors
Atmospheric measurements
Edge computing
Filters
Pollution measurement
Sensors
Signal processing algorithms
Temperature measurement
Urban areas
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Summary:The paper presents a method of transistor level implementation of a reconfigurable filter for the application in the algorithm responsible for processing air pollution data. The assumption of the proposed solutions is the realization of the algorithm that uses such filters directly in the wireless sensor, along with other components of such devices. Thanks to this, the amount of data exchanged between the sensors and the base station can be reduced. In the proposed filter structure, a special emphasis was placed on reducing the hardware complexity of the filter. The objective is to reduce the chip area of the overall device. The filter features a modular reconfigurable structure, which allows to achieve different filter orders, with almost linear increase in the hardware complexity. Target application of the proposed solution is in wireless sensors networks (WSN) that consist of large numbers of devices distributed, e.g. in dense urban areas in cities.
DOI:10.23919/MIXDES49814.2020.9155828