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Compact Low Power Wireless Gas Sensor Node With Thermo Compensation for Ubiquitous Deployment

TLDR
This work presents a wireless gas sensor node in which a widely used Wheatstone sensing circuit based on two sensors is exchanged with a single sensor circuit, as well as the associate gas measurement procedure.
Abstract
Wireless sensor networks (WSNs) have recently been applied for industrial monitoring, including combustible and flammable gases monitoring. In this work, we present a wireless gas sensor node in which a widely used Wheatstone sensing circuit based on two sensors is exchanged with a single sensor circuit, as well as the associate gas measurement procedure. The core of the measurement procedure is the four-stage heating profile, which enables low power consumption of sensing circuit and thermo compensation adjustment. A thermo compensation algorithm is capable of avoiding the effect of the environmental temperature on the measurements by keeping stable zero-offset within $\pm 1\;\hbox{mV}$ and ensuring low absolute error within 0.1% vol. The thorough design of the sensor node allows it to fit into the $5.5\;{\hbox{cm}^3}$ packaging, which ensures its true ubiquitous deployment in outdoor and industrial environment.

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Citations
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Journal ArticleDOI

Deployment Strategies in the Wireless Sensor Networks: Systematic Literature Review, Classification, and Current Trends

TL;DR: The deployment mechanisms which have been used in WSN systematically are reviewed and can be classified into two main categories: deterministic and nondeterministic to offer a guideline for further studies and new challenges.
Journal ArticleDOI

Optimization of power consumption for gas sensor nodes: A survey

TL;DR: This work provides a survey of intrinsic power optimization techniques with a special focus on recent advances in power management, sensor fabrication, sensing circuits, and measurement procedures, and concludes with providing a future outlook in the area.
Journal ArticleDOI

Designing Future Precision Agriculture: Detection of Seeds Germination Using Artificial Intelligence on a Low-Power Embedded System

TL;DR: A Convolutional Neural Network is designed which achieves 83% of average Intersection over Union (IoU) score on the test dataset and 97% of seeds recognition accuracy on the validation dataset and demonstrates that the proposed system opens up wide vista for smart applications in the context of Internet of Things requiring the intelligent and autonomous operation from ‘things’.
Journal ArticleDOI

POCO: ‘Perpetual’ operation of CO wireless sensor node with hybrid power supply

TL;DR: This work proposes a sensor node architecture for a wireless outdoor CO monitoring unit with an emphasis on the energy efficiency of measurements and optimal power supply mechanism, and demonstrates the experience of operating the developed wireless sensor node in real conditions.
Journal ArticleDOI

The Gas Leak Detection Based on a Wireless Monitoring System

TL;DR: This paper proposes a detection approach using the auto-correlation function (ACF) of the normal concentration segment of industrial gas leaks using the features of statistical analysis, and a nonconcentration threshold is determined to detect the real-time signals.
References
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Journal ArticleDOI

Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches

TL;DR: The aim is to provide a contemporary look at the current state of the art in IWSNs and discuss the still-open research issues in this field and to make the decision-making process more effective and direct.
Journal ArticleDOI

Radio link quality estimation in wireless sensor networks: A survey

TL;DR: This article provides a comprehensive survey on related literature, covering the characteristics of low-power links, the fundamental concepts of link quality estimation in WSNs, a taxonomy of existing link quality estimators, and their performance analysis.
Journal ArticleDOI

Enabling smart cities through a cognitive management framework for the internet of things

TL;DR: A cognitive management framework for IoT is proposed, in which dynamically changing real-world objects are represented in a virtualized environment, and where cognition and proximity are used to select the most relevant objects for the purpose of an application in an intelligent and autonomic way.
Journal ArticleDOI

Energy management in wireless sensor networks with energy-hungry sensors

TL;DR: In this paper, the authors proposed a policy for an efficient use of energy-hungry sensors in wireless sensor networks, which is based on the assumption that data acquisition consumes significantly less energy than data transmission.
Journal ArticleDOI

CMOS Interfacing for Integrated Gas Sensors: A Review

TL;DR: In this paper, the authors review the emerging field of CMOS gas sensors and focus upon the integration of two main gas-sensing principles, namely, resistive and electrochemical and associated circuitry by CMOS technology.
Related Papers (5)
Frequently Asked Questions (18)
Q1. What are the contributions mentioned in the paper "Compact low power wireless gas sensor node with thermo compensation for ubiquitous deployment" ?

In this work, the authors present a wireless gas sensor node in which a widely used Wheatstone sensing circuit based on two sensors is exchanged with a single sensor circuit, as well as the associate gas measurement procedure. 

The continuous heating profile used in [12] addresses the problem of the incomplete moisture evaporation and, due to careful design and power management, improves the power consumption up to 227 mW. 

The advantage of commercial platforms is the simplified application design available by the code reuse and technical support, as well as the minimum time required for platform debugging. 

All electronic components incorporated in the units are to meet the following requirements: energy efficiency, small size, compatibility of the components, and their simple interface. 

The early generic platform proposed by Wobscholl [34] consumes up to 1 W, but allows for automatic sensor (catalytic/ semiconductor) calibration. 

WSN technology has opened up wide vista for environmental sensing and industrial applications including the hazardous gases detection. 

The platform consists of two 3 cm2 boards fitting into 5.5 cm3 packaging, which significantly improves the state-of-the-art and ensures the platform ubiquitous deployment including difficult to access areas. 

The extra temperature sensor incorporated in a gas sensor to ensure the precise ambient temperature variation measurement is proposed in [5]. 

Widely used sensors, such as a temperature, luminosity, and humidity ones, consume even less power than the MCU in the active mode. 

In fact, the commercial and certified catalytic gas sensors require large casing, e.g., TO-7, and power management circuits to enable their correct functioning. 

When the measured gas concentration is between 0.5 and 1% vol., the sensor node immediately sends a request to the actuator to close the gas valve and, in parallel, notifies the WSN operator about the dangerous situation via the gateway. 

Commercial sensing platforms for natural and LPG gases detection FlyPort [21] and WaspMote with the “Gases” extension sensing board [22], though having no automatic calibration option as compared with Wobscholl platform, are characterized by slightly reduced power consumption up to 800 and 280 mW, respectively. 

it has an important disadvantage being unable to compensate for the effect of ambient temperature as compared with the Wheatstone circuit where the resultant response from the active and reference sensors provides this compensation “by default” [4]. 

The maximum drift of the zero offset for this sensing circuit is 0.33% vol. instead of 0.1% vol. tolerance at the temperature change for 38 ◦C. 

The sensor nodes for hazardous gases detection at plants, in some cases, have, e.g., to be deployed at various heights including the mixing emission height and difficult-to-access areas in indoor/outdoor conditions [20]. 

This experiment demonstrates that the application of the proposed algorithm helps keeping the zero-offset properly to meet the absolute error requirement. 

The energy efficiencyof the one sensor-based approach can be explained by exploiting just one sensor in the sensing circuit and the application of four stage heating profile instead of continuous one. 

There are two general approaches to ensure the proper sensors operation at the ambient temperature: 1) sensors calibration in all range of operating temperatures and recording these values in the memory of MCU; and 2) compensation for the ambient temperature proposed in this work.