Monitoring Wireless Sensor Research Articles

Smart Face Mask Based on an Ultrathin Pressure Sensor for Wireless Monitoring of Breath Conditions.

A smart face mask that can conveniently monitor breath information is beneficial for maintaining personal health and preventing the spread of diseases. However, some challenges still need to be addressed before such devices can be of practical use. One key challenge is to develop a pressure sensor that is easily triggered by low pressure and has excellent stability as well as electrical and mechanical properties. In this study, a wireless smart face mask is designed by integrating an ultrathin self-powered pressure sensor and a compact readout circuit with a normal face mask. The pressure sensor is the thinnest (totally compressed thickness of ≈5.5µm) and lightest (total weight of ≈4.5mg) electrostatic pressure sensor capable of achieving a peak open-circuit voltage of up to ≈10V when stimulated by airflow, which endows the sensor with the advantage of readout circuit miniaturization and makes the breath-monitoring system portable and wearable. To demonstrate the capabilities of the smart face mask, it is used to wirelessly measure and analyze the various breath conditions of multiple testers.

A Clustering Routing Algorithm for Wireless Sensor Monitoring Network in Irrigation Area

It is the basis for the implementation and scientific management decision of precision irrigation to accurately and comprehensively sense water and rainfall regime, soil moisture content and engineering conditions in irrigation areas and various environmental factors closely related to crop growth. In view of the characteristics of large monitoring range and scattered distribution of measuring points in the irrigation area, based on the analysis of the characteristics of the strip shape layout of the wireless sensor network at the water demand side of the irrigation area, and the limited battery energy and transmission distance under the condition of battery power supply, a clustering routing algorithm based on wireless sensor network for monitoring irrigation area is proposed (known simply as CRAIM algorithm). The formation of clusters, the selection of cluster heads, the routing process between clusters and the sink nodes are studied, and the CRAIM algorithm, EE-LEACH (energy-efficient LEACH) and MMH-LEACH (modified multi-hop LEACH) algorithm are simulated and compared respectively. Experimental results showed that, the new algorithm, CRAIM, has some advantages in the energy consumption of the network.

Prototyping of a concrete maturity sensor with a hermetically sealed housing made of two-component plastic

The construction industry, traditionally considered quite conservative, is now going through a marked change. With competition intensifying, companies have begun to gradually adopt various digital technologies to reduce construction costs, such as the wireless concrete monitoring sensors, which implement a temperature-strength monitoring method for concrete. Each device has its technological features, which are considered in the development of the concepts. Enclosure design is the most important stage of product development. An enclosure made in-house has many advantages and disadvantages. The most important part of the design of an electronic device enclosure is the preliminary research stage. This article presents features of wireless monitoring sensor enclosure design. A data acquisition station (DAS), also referred to in the network topology as a “gateway”, will be used to collect data from the wireless monitoring sensor over the selected protocol. The server application was created based on HTML, PHP, CSS, JavaScript. Testing of the wireless monitoring sensor, SDS, and the server application working together showed full functionality. A study is also given on the determination of concrete strength using the developed sensor according to the ASTM method and using the IPS MG 4.0 by GOST.

Uniform stress distribution road piezoelectric generator with free-fixed-end type central strike mechanism

A self-powered energy harvester for real roads to predict and detect black ice formation and pinpoint dangerous road sections was developed. An open-type piezoelectric device was developed for a high-efficiency module to achieve uniform stress distribution for enhanced energy harvesting performance by free-fixed-end type central strike mechanism. The output performance of the open-type device was 80% higher than that of the closed-type device. A uniform stress distribution road piezoelectric generator (URPG) with 120 open-type devices was installed on real roads. The URPG showed output power performance of up to 2.38 mW/cm3 when a vehicle passed once under the condition of being buried 2.5 cm below the road surface. The URPG can operate a wireless temperature sensor monitoring system for 83 s and charge a cellphone battery for 53 s. The developed self-powered energy harvesters can be used to reduce accidents caused by black ice on real roads.

Development of a case for a wireless sensor for monitoring of reinforced concrete structures

Enclosure design is the most important stage of product development. A proprietary enclosure has many advantages as well as disadvantages. The most important part of the design of an electronic device enclosure is the preliminary research stage. Each device has its own technological peculiarities, which are taken into account during the development of concepts. This article presents the peculiarities of the development of enclosure for wireless sensor for monitoring of reinforced concrete structures, discusses the important aspects of each stage.

ПРОГНОЗИРОВАНИЕ ВРЕМЕНИ РАБОТЫ БЕСПРОВОДНЫХ СЕНСОРНЫХ СЕТЕЙ НА ОСНОВЕ ТЕХНОЛОГИИ LORA С ИСПОЛЬЗОВАНИЕМ ВЕРОЯТНОСТНОЙ МОДЕЛИ МАРКОВСКИХ ЦЕПЕЙ

Real-time monitoring systems and sensors are not complete without wireless data transmission modules. Improving energy efficiency requires examining various system parameters that affect the power consumption of transmitting and receiving devices. The most important parameter of any autonomous wireless network is its uptime. In this work, we used LoRa wireless modules on the SX1278 chip manufactured by Semtech to determine their power consumption in various operating modes. The obtained data were used to build a consumption model of the device when connected to a receiver. Three operating modes are considered: transmit mode, receive mode and sleep mode. In an ideal communication channel, all transmitted data reaches the receiver with 100% probability. In a real situation, data reaches the receiver with a certain probability, depending on the communication channel, transmission power, distance to the addressee, and network parameters. In this work, the occurrence of an error is random. In this case, the occurrence of an error during reception entails a lack of confirmation of receipt or a request for re-sending data. Sending data again increases the power consumption of the device and, consequently, decreases the operating time of the wireless device. This paper shows the dependences of the operating time on various initial monitored parameters of the device, such as: confirmation timeout, packet length, time of one transmission cycle and the maximum number of retransmissions in one cycle. The developed model for predicting the consumption of the device can be used in the design of autonomous wireless sensor monitoring networks.

Wireless Green House Monitoring System Using Raspberry PI

A Greenhouse is a framed structure that is used for the production of fruits, vegetables, flowers, and any other plants that require special conditions of temperature and humidity. Greenhouses warm up during the day-times when sun-rays penetrate through them, which heat the plant, soil and the structure. The greenhouse effect is a natural phenomenon and is very beneficial to the human being. With lack of proper green house monitoring and control system the production decline which leads to loss.There are many challenges starting from plant growth to maintenance for which monitoring and control of greenhouse is needed. This paper explains the design and implementation of a network with wireless sensors for greenhouse environment monitoring and controlling. This greenhouse control system is controlled by Raspberry pi with its wifi capability that is attached to a temperature sensor, soil moisture sensor, Light Dependent Resistor (LDR) sensor, 12V DC fan and pump. With the monitoring and control of greenhouse the performance of the system and production can be increased. A prototype was designed and builtup whose results were presented.

Artificial Intelligence Technology Monitoring Terminal for Mechanical Vibration Wireless Sensor

Wireless sensor network has the characteristics of distributed, self-organizing, strong expansibility, convenient and flexible deployment, which can effectively make up for the deficiency of traditional limited monitoring system in special application occasions such as closed, large displacement, rotation, etc., and has a huge application prospect in the field of mechanical vibration monitoring. This paper mainly studies the design of wireless sensor monitoring terminal for mechanical vibration with artificial intelligence technology. In view of the narrow wireless channel and low communication efficiency of the current mechanical vibration wireless sensor network nodes, this paper proposes a dual-core architecture node design method supporting IEEE 802.11 protocol, which provides the cohardware support for the low energy consumption and high efficiency transmission of large amounts of data.

Use of wireless respiratory rate sensor monitoring during opioid patient-controlled analgesia after gynaecological surgery

Background and Aims:Respiratory depression is a rare but serious complication during opioid administration. Therefore, early detection of signs of deterioration is paramount. The current standard of care of using manual intermittent respiratory rate (RR) measurement is labour intensive and inefficient. We evaluated a wireless sensor monitor, Aingeal (Renew Health Ltd, Ireland), to continuously monitor RR, heart rate (HR) and temperature compared to standard clinical measurements.Methods:Patients who underwent major gynaecological operations and received postoperative opioid patient-controlled analgesia were recruited. Patients were connected to the sensor monitor via a central station software platform. The primary outcome was comparison of RR between sensor and nursing monitoring, with secondary outcomes being HR and temperature between two methods. Feedback from patients and healthcare providers was also collected. Bland-Altman analyses were used to compare the vital signs recorded in sensor against those in patient's electronic record.Results:A total of 1121 hours of vital signs data were analysed. Bias for RR was -0.90 (95% confidence interval (CI): -9.39, 7.60) breaths/min between nursing and averaged sensor readings. Bias for heart rate was -1.12 (95% CI: -26.27, 24.03) and bias for temperature was 1.45 (95% CI: -5.67, 2.76) between the two methods.Conclusion:There is satisfactory agreement of RR measurements, as well as HR and temperature measurements, by the wireless sensor monitor with standard clinical intermittent monitoring with overall good user experience.

RETRACTED: Wearable exercise monitoring equipment for physical exercise teaching process based on wireless sensor

Living a healthy, fulfilling life or carrying out daily activities inevitably depend on several different physical activity scales. Therefore, physical exercise is needed to evaluate both healthy subjects and patients to plan their welfare needs. Monitoring Efficacy of physical activity and range of exercise wearable monitoring techniques to assess physical exercise treatment, safety, physical fitness and disability of wireless sensor. There seems to be no surveyed review of the impact of wearable movement monitoring on existing systems' heart population. Physical activity and proper balance between intensity exercises, it is important to maximize the positive effects monitoring in wireless sensor. Auxiliary tools are very important, as it is not easy to get this balance. Therefore, training in the balance between Ambient Assisted Monitoring (AAM) system support and incentives is desirable for wearable fitness equipment. The present of the proposal system, AAM's method teaches the level and provides this, focusing on the level of physical activity monitoring of the platform skills of the elderly population. Monitoring (1): The main focus is on personalized education methods and wireless sensor monitoring to determine the type, intensity, frequency and duration of activity according to its boosting method to provide athletic training estimates. Explaining how to do this Time is given the physical exercise (2) of the director or coach's intensity activities. Here, this method is to describe the user's parameters, which should provide useful feedback in real time to understand how to use the correct technology safely.

Routing design and experimental analysis of wireless sensor monitoring network for mine environment

According to the demands of actual mine production and environment monitoring, this paper proposes a networking scheme that combines optical fibre transmission and wireless sensor monitoring networks. In accordance with the special arrangement of str

Performance Analysis of Two IoT-Based Wireless Sensors for Environmental Monitoring

Performance Analysis of Two IoT-Based Wireless Sensors for Environmental Monitoring

Energy-Efficient Boundary Detection of Continuous Objects in Internet of Things Sensing Networks

Internet of Things (IoT) has been widely used to facilitate environmental perception, where detecting the boundary regions for continuous objects with energy-efficient manner is a challenge to be explored to support domain applications. This paper proposes a novel approach for continuous objects boundary prediction and detection in IoT sensing network, which is called Cloud Model-IoT Sensing Network Collaborative (CM-IoTSNC). Specifically, when an event is potentially occurred, the atmospheric dynamic diffusion model deployed on the cloud is adopted to predict gas diffusion trend in ideal and complex environments, moreover prediction results are transmitted to the IoT devices in the real-time fashion for scheduling security plans in advance. One-hop neighbor nodes are activated by abnormal nodes to determine a more accurate boundary region. Compared our technique with two traditional methods, namely Wireless Sensor Monitoring and Activating One-hop Neighbor Nodes, experimental results show that our method has a good performance in reducing the energy consumption and prolonging the lifetime of the network.

Advances in Sensor Monitoring Effectiveness and Applicability: A Systematic Review and Update.

To provide an updated review article studying the applicability and effectiveness of sensor networks in measuring and supporting activities of daily living (ADLs) among non-demented older adults. Systematic review following PRISMA guidelines. The search queries yielded 10,782 hits of which 162 articles were manually reviewed. Following exclusion criteria, 13 relevant articles were retained. Although various types of sensor networks with different analyzing algorithms were proposed, from simple video monitoring to complex sensor networks distributed throughout a house, all articles supported the use of wireless sensors for identifying changes in activity patterns. Wireless sensor networks appear to be developing into an effective solution for measuring ADLs and for identifying changes in their patterns. They offer a promising solution to support older adults living independently at home. However, there is too much focus on technology, and practical usefulness still needs to be further elaborated. Sensors should focus on ADLs that are sensitive to the earliest signs of cognitive decline, as well as quantitative markers, such as errors in the execution of ADLs.

Wireless sensor monitoring system of Canadian Poplar Forests based on Internet of Things

In the current ecological measurement of commonweal forest, there are many problems such as high intensity of operation and continuous measurement of environmental factors. In this paper, the technology of Internet of Things is applied to the automatic measurement of ecological cultivation of public-welfare forest, and the structure of automatic monitoring system of ecological cultivation based on Internet of Things is put forward. Implementation in production practice: according to the basic flow of the ecological cultivation of commonweal forest, the cultivation environment of the ecological cultivation link of the Canadian Poplar Forests was analyzed. The environmental factors influencing the growth of trees in the Canadian Poplar Forests were summarized and the best environment for the ecological cultivation was established. The preliminary experiments show that the system has the advantages of low power consumption, flexible networking, scalable and friendly human–machine interface, and can meet the application requirements of ecological cultivation information monitoring of Canadian Poplar Forests.

Sistema dinámico para el monitoreo y control de redes inalámbricas de sensores que operan bajo el protocolo de comunicación ZigBee

Sistema dinámico para el monitoreo y control de redes inalámbricas de sensores que operan bajo el protocolo de comunicación ZigBee

An extensible framework for ECG anomaly detection in wireless body sensor monitoring systems

Automatic anomaly detection from the sensor streams of the Electrocardiography requires online techniques of data stream processing and analysis. The significant increase in the availability of the Electrocardiography collected from wireless sensor networks (WSNs) has attracted heaps of research interests in identifying the anomalies in an Electrocardiography. However, most existing models focus on a particular type of anomaly, like arrhythmia, and they are not dynamically extensible for the identification of an unknown type of anomaly. This work proposes an extensible method named shapelet-base (SH-BASE) to solve this problem. Essentially, SH-BASE is a knowledge-base of shapelets, in which the shapelets are classified into different groups (we call them branches), and each branch stores the most distinctive shapelets of a particular type of anomaly. Experimental results show that the SH-BASE can achieve a very competitive performance in anomaly detection for Electrocardiography sensor streams by comparing with the state-of-the-art models.

Wireless Sensor and Beidou Satellite Short Message Communication-based Cotton Picker Remote Monitoring and Management System

Abstract. Cluster operation of a cotton picker requires production monitoring, work area statistics, and the collection of work status information. Traditional cotton pickers are either not equipped with a production inspection system or use approximate statistics only. To achieve accurate monitoring of the output of cotton pickers and ensure the accuracy and reliability of remote communication, this study designed a laser- and sensor-based flow-monitoring device that uses a wireless sensor and proposed the use of an image data processing method to accurately calculate cotton flow. BeiDou Navigation Satellite System positioning technology is used to determine the position and area of a cotton picker, and the collected data are transmitted to the dispatch center using BeiDou short message communication technology. The remote monitoring system of the cotton picker includes an onboard vehicle subsystem and a dispatch center. The onboard vehicle subsystem can acquire acquisition information and remotely transmit location information, acquisition area, and acquisition traffic. The dispatch center mainly sends instructions to the cab of the cotton picker for remote management, scheduling, and visual imaging of the track and production statistics of the cotton picker. The monitoring system was installed in the pilot of the 8th Division of Xinjiang Production and Construction Corps in China. The cotton quality monitoring accuracy reached 97%, the positioning and ranging errors were less than 1%, and the system can communicate smoothly without a General Packet Radio Service (GPRS) network area. Keywords: Cotton, Image processing, Production statistics, Remote scheduling, Short message communication, Traffic monitoring.

An extensible framework for ECG anomaly detection in wireless body sensor monitoring systems

Automatic anomaly detection from the sensor streams of the Electrocardiography requires online techniques of data stream processing and analysis. The significant increase in the availability of the Electrocardiography collected from wireless sensor networks (WSNs) has attracted heaps of research interests in identifying the anomalies in an Electrocardiography. However, most existing models focus on a particular type of anomaly, like arrhythmia, and they are not dynamically extensible for the identification of an unknown type of anomaly. This work proposes an extensible method named shapelet-base (SH-BASE) to solve this problem. Essentially, SH-BASE is a knowledge-base of shapelets, in which the shapelets are classified into different groups (we call them branches), and each branch stores the most distinctive shapelets of a particular type of anomaly. Experimental results show that the SH-BASE can achieve a very competitive performance in anomaly detection for Electrocardiography sensor streams by comparing with the state-of-the-art models.

A Wireless Sensor Monitoring Node Based for Paddy Field Environment Using IoT

A Wireless Sensor Monitoring Node Based for Paddy Field Environment Using IoT