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In many distributed sensing applications, continuous sensor monitoring requires processing with a significant energy footprint, which hinders autonomous operation and battery lifetime of sensor nodes. In our research we explore the power savings gained by splitting the hardware architecture for continuous monitoring into two stages: an always-on ultra-low-power mixed-signal wake-up circuit placed...
Current medical practice of long-term chronic respiratory diseases treatment lacks a convenient method of empowering the patients and caregivers to continuously quantitatively track the intensity of respiratory symptoms. Such is asthmatic wheezing, occurring in respiratory sounds. We envision a mobile, personalized asthma monitoring system comprising of a wearable, energy-constrained acoustic sensor...
Metal-Oxide Semiconductor gas sensors are small in size and affordable, which makes them appropriate for implementation in battery-powered wearable sensing devices. However, their big flaw is the need to be heated to a certain temperature to react with the gas from the atmosphere, which consumes energy and drains the battery of the sensing device. In this paper we experimentally evaluate the possibilities...
Information on air-quality in urban environments is typically measured only at limited number of sites, due to cost of measurement of atmospheric concentrations of toxic gases (CO, NO2, SO2) within accuracy boundaries defined by regulative bodies. Low spatial resolution of the mentioned environmental parameters hinders their applications in localization of the air-pollution sources, traffic regulation...
Collaborative mobile air-pollution monitoring, employing context aware sampling scheduling, requires on-demand sensing of gas concentration. If MOX gas sensors are used, their energy consumption can be reduced by on-demand heating, with a risk to compromise the sensing repeatability. We experimentally investigate response of MiCS-5525 CO MOX sensor to intermittent heating sequences consisting of a...
Asthma is a widespread chronic respiratory disease with rising prevalence. Current state-of-the-art in practice of long-term asthma management at best comes down to usage of smartphone-based asthma-diary for manual entry of subjectively perceived symptoms, and provision of medication reminders and alerts on environmental asthma-triggers. Nevertheless, by interfacing smartphone to low power, minimally...
We demonstrate an urban crowd sensing application for monitoring air quality by use of specially-designed wearable sensors and mobile phones. The application is built upon the OpenIoT platform1 with the goal to support context-aware and energy-efficient acquisition and filtering of sensor data in mobile environments while ensuring adequate sensing coverage. We demonstrate how sensors and mobile devices...
Development of wearable sensor node for continuous monitoring of respiratory sounds presents several research challenges. In this article we analysed power consumption of such node in scenarios of on-node signal processing, and compressive sampling with low frequency data streaming. Onset of requirements defined by each scenario, we reviewed state of the art of recent commercial off-the-shelf (COTS)...
In this paper a berth supervision system for marinas is presented. Berth occupancy is detected using wireless ultrasonic sensor nodes installed on every berth. ZigBee RFID tags installed on each boat are used for its identification. RFID readers installed along marina wharfs route tag messages to a central computer. Prototype system is implemented using Atmel ZigBee development kits and Atmel Bitcloud...
In this paper we study lifetime extension of a wireless sensor node operated from primary battery through a DC-DC switching converter. The node was developed in course of the environmental monitoring project MasliNET. A step-up switching converter is needed to drain the battery when its voltage drops below the operating voltage of the node. In order to minimize the losses caused by the DC-DC converter...
Wireless Sensor Networks have gained a tremendous attention in the last decade. They provide unobtrusive monitoring of the ambient, with low power consumption and robustness as key challenges. In this paper we present MasliNET, a multimodal environmental monitoring system built for microclimate and pest monitoring in olive groves. The system consists of a low-power wireless sensor network, a GPRS...
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