Paper Info
Title
Demo Abstract: DPP3e: A Harvesting-based Dual Processor Platform for Advanced Indoor Environmental Sensing
Abstract
Wireless sensors form an integral part of the Internet of Things (IoT), standing at the edge between the cyber and physical domains. Ac-quiring and transmitting environmental data is an energy-intensive workload, especially when considering networks spanning large buildings or even cities. Many works aim to integrate energy har-vesting into wireless sensors, providing them with a greater level of energy autonomy. Initially deployed for energy-rich outdoor environments, recent advances have allowed wireless sensors to efficiently utilize the reduced energy harvested in indoor lighting conditions. This demo introduces a harvesting-based Dual Proces-sor Platform, the DPP3e, designed for energy harvesting in indoor environments. It features various sensors for advanced indoor en-vironmental sensing, e.g. air quality measurements, a low-power display for immediate visual feedback, and a powerful micro controller for energy-efficient inference of Tensorflow models. Fur-thermore, it has two separate RF interfaces: a 2.4 GHz Bluetooth Low Energy (BLE) radio for short-range communication, and a sub-GHz transceiver for long-range communication. Using configurable power domains and advanced power management, it can sustain sending BLE packets every 5 seconds while consuming only 37 µ W.
Year
DOI
Venue
2022
10.1109/IPSN54338.2022.00048
2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Keywords
DocType
ISBN
Indoor Energy Harvesting,Internet of Things,Gas Sensing
Conference
978-1-6654-9625-4
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
Luca Rufer100.34
Naomi Stricker201.01
Reto Da Forno3237.79
Lothar Thiele401.69
Andres Gomez522.09