APMD is equipped with energy harvesting power management and is powered through solar energy and battery backup
System measures concentrations of NO2, ozone, CO and SO2, PM2.5 and PM10 using semiconductor sensors. Further, the system gathers other environmental parameters like temperature, humidity.
Prototype is equipped with a GPS sub-system for accurate geo-tagging
Learning based smart sensing method – reduce sensing energy consumption
Smart Metering Features:
System prune the IoT data at the source node by providing some intelligence, thereby aiding to the wireless IoT node’s energy sustainability and efficient channel bandwidth usage for scalable deployment
Embedded implementation of data-driven dynamic pruning of multi-parameter smart meter data
Integration with Nb-IoT. Fallback compatibility with Wi-Fi.
Microcontroller implementation of Multivariate Data Compression Algorithm
Value Proposition
In APMD, designed PM sensor saves 57% energy compared to the traditional one. APMD is 43% and 99% more power-efficient compared to the reference prototype and commercially available competitive devices, respectively.
In Smart Meter, results show that the energy and bandwidth savings with multiple univariate data pruning are respectively about 19% and 36%, whereas the savings with multivariate data pruning are respectively about 36% and 98%. The developed embedded data pruning module is 99:09% more energy efficient than the implementation on Raspberry Pi.