scholarly journals QoS Analysis of Wireless Sensor Networks for Temperature and Humidity Monitoring and Control of Soybean Seed Storage Based IOT Using NodeMCU

JAICT ◽  
2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Sindung HW Sasono
Keyword(s):  
Packet Loss ◽  
Sensor Node ◽  
Soybean Seed ◽  
Seed Storage ◽  
Packet Transmission ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Temperature And Humidity ◽  
And Control

Based on data from Central Bureau of Statistics in 2016 - 2020 soybean production deficit, the main factor is the decline in the quality of soybean seeds temperature and humidity sensitive. And so we need a system of monitoring and control of temperature and humidity container store soya beans. Wireless sensor network wireless technology that consists of a collection of sensor nodes distributed on a given area can support the communication between the sensor nodes using the system and sensor NodeMCU DHT11. This research was to analyze the WSN QoS monitoring system and temperature and humidity control soybean seed store container-based IOT using NodeMCU clients and coordinators are connected to an access point for sending data to the server in realtime. Tests carried out by putting the sensor node at 3 points with a distance variation of the coordinator and a data packet transmission interval. The test results obtained using a star topology indoor NLOS conditions optimal distance sensor node 3 which is 4 meters and the delivery interval 40s with packet loss value of 0-20%, delay 1.154 - 5,92s, jitter 0.241 to 7.57 ms, and throughput 66.32 bits / s. WSN protocol IOT uses MQTT NodeMCU and goes well with a low throughput value is 529.81 bps to 544.85 bps can still generate a delay kualiatas 200.33 to 270.83 ms and packet loss from 0 to 1.284% which is good. 92s, jitter 0.241 to 7.57 ms, and the throughput of 66.32 bits / s. WSN protocol IOT uses MQTT NodeMCU and goes well with a low throughput value is 529.81 bps to 544.85 bps can still generate a delay kualiatas 200.33 to 270.83 ms and packet loss from 0 to 1.284% which is good. 92s, jitter 0.241 to 7.57 ms, and the throughput of 66.32 bits / s. WSN protocol IOT uses MQTT NodeMCU and goes well with a low throughput value is 529.81 bps to 544.85 bps can still generate a delay kualiatas 200.33 to 270.83 ms and packet loss from 0 to 1.284% which is good.

scholarly journals Sensor Data Analysis On Monitoring And Control System Of Temperature And Humidity Based On Android In Soybean Seed Storage Room Using Nodemcu

JAICT ◽  
2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Sindung HW Sasono
Keyword(s):  
Control System ◽  
Data Analysis ◽  
Soybean Seed ◽  
Seed Storage ◽  
Sensor Data ◽  
Monitoring And Control ◽  
Storage Room ◽  
Temperature State ◽  
Temperature And Humidity ◽  
And Control

soybean seeds may be damaged during storage time. Temperature and humidity of soybean seed storage room, is one of the external factors of damage to the seed. The system consists of monitoring and control temperature and humidity in some rooms used as soybean seed storage room samples. This study discusses and perform sensor data analysis using several types of temperature and humidity sensors based on Internet of Things. Sensor nodes generate data and processed by a microcontroller NodeMCU ESP8266, and the results data is then transmitted by the Internet network using MQTT broker and stored in the database. Results data is then analyzed to monitor the condition of soybean seed storage room. SHT30 sensor has the most excellent temperature accuracy of 98, 21%. DHT22 sensor has the most excellent moisture accuracy of 95.74%. Data sending to the database has a good level of dataloss category for node 1 is 3.39%, 4.33% for node 2, and 3.22% for node 3. Air conditioner control system using Android can keep the room temperature state in the range of 18-23oC and humidity of 40-60% with an air conditioning remote control setting at 20oC on an area of 36 m2.

scholarly journals Building an HMI and Demo Application of WSN-based Industrial Control Systems

2011 ◽  
Vol 7 (2) ◽  
pp. 107-111
Author(s):  
Ali Abed ◽  
AbdulAdhem Ali ◽  
Nauman Aslam
Keyword(s):  
Control Systems ◽  
Low Cost ◽  
Data Access ◽  
Industrial Applications ◽  
Base Station ◽  
Temperature Monitoring ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
And Control

In this paper we present the details of methodology pursued in implementation of an HMI and Demo Temperature Monitoring application for wireless sensor-based distributed control systems. The application of WSN for a temperature monitoring and control is composed of a number of sensor nodes (motes) with a networking capability that can be deployed for monitoring and control purposes. The temperature is measured in the real time by the sensor boards that sample and send the data to the monitoring computer through a base station or gateway. This paper proposes how such monitoring system can be setup emphasizing on the aspects of low cost, energy-efficient, easy ad-hoc installation and easy handling and maintenance. This paper focuses on the overall potential of wireless sensor nodes and networking in industrial applications. A specific case study is given for the measurement of temperature (with thermistor or thermocouple), humidity, light and the health of the WSN. The focus was not on these four types of measurements and analysis but rather on the design of a communication protocol and building of an HMI software for monitoring. So, a set of system design requirements are developed that covered the use of the wireless platforms, the design of sensor network, the capabilities for remote data access and management, the connection between the WSN and an HMI software designed with MATLAB.

scholarly journals Perancangan Jaringan Sensor Nirkabel (JSN) untuk Memantau Suhu dan Kelembaban Menggunakan nRF24L01+

2014 ◽  
Vol 2 (4) ◽  
pp. 267 ◽  
Author(s):  
Dwi Intan Af'idah ◽  
Adian Fatchur Rochim ◽  
Eko Didik Widianto
Keyword(s):  
Environmental Conditions ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Environmental Condition ◽  
Maximum Range ◽  
Temperature And Humidity ◽  
Communication Module ◽  
And Control ◽  
Fertilization Experiments ◽  
Monitoring Temperature

The environmental condition in a large areas often requires the monitoring. For example, in the case of greenhouse were used to cultivation experiments, fertilization experiments, plant resistance experiments, tissue culture experiments, experimental planting of crops in the off-season, and it needs equipment to monitor and control the environmental conditions to suit the characteristics required environment. The extent of land that is must be monitored, making it needs distribute the monitor at some point so that monitoring of environmental conditions can cover the entire desired area. This is the basis for the design of wireless sensor network for monitoring temperature and humidity using the communication module nRF24L01 +. The system consists of hardware for measuring the temperature and humidity at some point in a certain area. The system is divided into several sections that is referred to as nodes. Node in the system is divided into two functions, namely the sensor node and the concentrator node.. There are two the sensor nodes which will serve to data of temperature and humidity in separate areas and transmit data to the concentrator node. The communication between nodes is done using a module nRF24L01+. The design of communication protocol designed to connect between nodes concentrator with a sensor node capable of running properly. This makes the system capable of monitoring temperature and humidity through a web page, so it can be known conditions of temperature and humidity at some point at the maximum range of 93 meters.

scholarly journals Design and deployment of a new wireless sensor node platform for building environmental monitoring and control

2011 ◽  
Vol 11 (10–12) ◽  
pp. e3 ◽  
Author(s):  
Essa Jafer ◽  
Rostislav Spinar ◽  
Paul Stack ◽  
Cian O’Mathuna ◽  
Dirk Pesch
Keyword(s):  
Environmental Monitoring ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Wireless Sensor Node ◽  
And Control

scholarly journals The Management of Indoor Thermal Comfort with Wireless Sensor Networks

2017 ◽  
Vol 50 (9-10) ◽  
pp. 206-213 ◽  
Author(s):  
Sinan Uguz ◽  
Osman Ipek
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Factors ◽  
Thermal Comfort ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Space Heating ◽  
Monitoring And Control ◽  
Comfort Index ◽  
And Control

In this study, real-time monitoring and control platform based on thermal comfort was developed to control space heating in living spaces. To calculate the thermal comfort level in a living space, environmental factors such as indoor air temperature, mean radiant temperature, air velocity, and humidity are needed. In order to obtain the environmental factors, sensor nodes based on wireless sensor networks were developed. According to the data obtained from the sensor nodes, the thermal comfort index was calculated, and radiators used for space heating were controlled via monitoring and control software based on PC. Furthermore, several experiments were performed between living spaces where real-time monitoring and control platform was installed and living spaces heated with conventional methods. The measurements were carried out in four rooms at the Faculty of Technology of Suleyman Demirel University in Turkey during the winter season. The heat transferred from room radiators by creating proper conditions that can change the thermal comfort index was compared in the experiments. During experimental measurements, it was observed that the heat transferred to the environment through the room radiators reduced significantly, especially with closed doors and windows.

scholarly journals Perancangan Protokol Komunikasi untuk JSN (Jaringan Sensor Nirkabel) pada Kampus Hijau

2016 ◽  
Vol 4 (2) ◽  
pp. 344
Author(s):  
Nurazizah Nurazizah ◽  
Oky Dwi Nurhayati ◽  
Eko Didik Widianto
Keyword(s):  
Environmental Conditions ◽  
Sensor Node ◽  
Communication Protocols ◽  
Sensor Nodes ◽  
Large Area ◽  
Monitoring Equipment ◽  
Separate Area ◽  
Temperature And Humidity ◽  
And Control ◽  
The Coordinator

Environmental conditions in a large area often requires monitoring. For example, in the case of greenhouse used for experimental research cultivation, fertilization experiment, experiment plant resistance, tissue culture experiments, experimental planting of crops in the off-season, the necessary equipment to monitor and control the environmental conditions in order to suit the characteristics of the environment is needed. The size of area to be monitored, making the need for the spread of monitoring equipment at some point so that monitoring environmental conditions can include all the desired area. This is the basis for the design of communication protocols for WSN (wireless sensor networks) on a green campus. The system consists of hardware that is assembled to the process of measuring PM2.5, CO, NO2, HC, light intensity, temperature, and humidity. The system is divided into several sections, hereinafter referred to node. Node on this system can be divided into two functions, namely a sensor node and coordinator node. There are two sensor nodes that will work for data collection in a separate area and sends the data to the coordinator node. Communication between nodes is done using nRF905 module. The design of communication protocols that are designed to connect between the coordinator node to sensor node is able to run well. It makes the system capable of monitoring temperature and humidity via a web service, so that can know the condition of PM2.5, CO, NO2, HC, the intensity of light, temperature and humidity at some point in the range of more than 100 meters.

scholarly journals Rate-Distortion Performance and Incremental Transmission Scheme of Compressive Sensed Measurements in Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 266 ◽  
Author(s):  
Felipe da Rocha Henriques ◽  
Lisandro Lovisolo ◽  
Eduardo Barros da Silva
Keyword(s):  
Packet Loss ◽  
Sensor Node ◽  
Approximation Scheme ◽  
Rate Distortion ◽  
Environmental Data ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Scheme ◽  
Simple Strategy ◽  
Performance Penalty

We consider a Wireless Sensor Network (WSN) monitoring environmental data. Compressive Sensing (CS) is explored to reduce the number of coefficients to transmit and consequently save the energy of sensor nodes. Each sensor node collects N samples of environmental data, these are CS coded to transmit M < N values to a sink node. The M CS coefficients are uniformly quantized and entropy coded. We investigate the rate-distortion performance of this approach even under CS coefficient losses. The results show the robustness of the CS coding framework against packet loss. We devise a simple strategy to successively approximate/quantize CS coefficients, allowing for an efficient incremental transmission of CS coded data. Tests show that the proposed successive approximation scheme provides rate allocation adaptivity and flexibility with a minimum rate-distortion performance penalty.

scholarly journals Mitigating Hotspot Issue in WSN Using Sensor Nodes with Varying Initial Energy Levels and Quantification Algorithm

2019 ◽  
Vol 19 (3) ◽  
pp. 118-136
Author(s):  
R. Balamurali ◽  
K. Kathiravan ◽  
T. Krishnan
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Node ◽  
Energy Levels ◽  
Initial Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Direct Transmission ◽  
Multihop Communication ◽  
And Control ◽  
Control Packets

Abstract A typical Wireless Sensor Network (WSN) uses multihop communication rather than direct transmission. In a multi-hop communication, the sensor node communicates the sensed data to its neighbor node, which is comparatively closer to the sink and the receiving node will forward the data to its neighbor node. This process continues until the data reaches the sink. Due to the multihop communication, the nodes closer to the sink have to transmit and receive more data and control packets compared to other nodes. Hence, the nodes closer to sink may deplete their energy at a faster rate and may die soon. This may create network isolation. This issue is called as the Hotspot problem. In this paper, we are proposing a Quantification algorithm for Sensor Nodes with varying Initial Energy Level to mitigate the Hotspot effect.

scholarly journals ANALISA PERBANDINGAN METODE KOMUNIKASI MULTIHOP DAN ROUND ROBIN PADA WIRELESS SENSOR NETWORK MENGGUNAKAN NRF24L01

JURNAL ELTEK ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
Mochammad Junus
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Packet Loss ◽  
Sensor Node ◽  
Round Robin ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Master Node ◽  
Advantages And Disadvantages ◽  
Sensor Module

Wireless Sensor Network merupakan jaringan komputer terdistribusi yang memanfaatkan sejumlah node sensor berukuran kecil, dikembangkan dan dikonfigurasikan dalam sekala besar untuk membantu pemindaian terhadap lingkungan sekitar, memanfaatkan parameter pengukuran berupa temperatur, tekanan, suhu, gerakan atau entitas lainnya yang diketahui oleh manusia. Umumnya implementasi WSN di lapangan adalah masalah keterbatasan sumber daya untuk energi yang digunakan oleh setiap sensor node di dalamnya Hal ini menjadikan node-node sensor harus mampu bekerja dengan cepat dan maksimal, dengan sumber energi yang terbatas.Pada penelitian sebelumnya dengan melakukan penghematan daya menggunakan mekanisme sleep Namun pada penelitian tersebut masih terdapat kekurangan yakni kurang efektifnya penggunaan hanya satu modul sensor pada sebuah sensor node. Di sisi lain kebutuhan dalam pengaplikasian pada suatu wilayah tidak cukup hanya dengan menggunakan satu buah modul sensor. Akan tetapi dengan jumlah node yang banyak maka diperlukan metode komunikasi antar node agar data pengiriman tiap node tidak saling bertabrakan dan manajemen penggunaan energi yang lebih efisien. Adapun beberapa metode yangdapat diterapkan antara lain adalah metode Round Robin dan Multi-hop.Dengan membandingkan kedua metode tersebut dapat diketahui keunggulan dan kelemahan dari masing-masing metode. Hasil pengujian yang telah dilakukan dengan mengisi penuh baterai 9V untuk semua node dan digunakan sampai habis. Pada metode Multihop komunikasi antara master node dan semua sensor node berlangsung dengan jeda pengiriman tiap node satu detik berlangsung selama 9 menit 36 detik dengan packet loss 54% pada lokasi outdoor dan 7 menit 45 detik dengan packet loss 54,25% pada lokasi indoor. Lama proses komunikasi ditentukan oleh umur daya dari sensor node 1. Sedangkan dengan menggunakan metode RoundRobin komunikasi terus berlangsung hingga 27 menit 59 detik dengan packet loss 27,40% untuk lokasi outdoor dan25 menit 16 detik untuk lokasi indoor dengan packet loss 28,14%. Wireless Sensor Network is a distributed computer network that utilizes a number of small sensor nodes, developed and configured in large scale to help scan the surrounding environment, utilizing measurement parameters in the form of temperature, pressure, temperature, movement or other entities known to humans. Generally WSN implementation in the field is a matter of limited resources for the energy used by each sensor node in it. This makes sensor nodes must be able to work quickly and maximally, with limited energy sources.In previous studies with power saving using sleep mechanism, in this study there were still deficiencies, namely the ineffectiveness of using only one sensor module on a sensor node. On the other hand, the need for application in an area is not enough using only one sensor module.However, with a large number of nodes, a method of communication between nodes is needed so that the sending data of each node does not collide with each other and more efficient energy use management. The several methods that can be applied include the Round Robin and Multihop methods. By comparing the two methods can be known the advantages and disadvantages of each method.The test results have been carried out by fully filling the 9V battery for all nodes and used up. In the Multihop method the communication between the master node and all sensor nodes takes place with each node sending a second delay lasting 9 minutes 36 seconds with 54% packet loss at the outdoor location and 7 minutes 45 seconds with 54.25% packet loss at the indoor location. The length of the communication process is determined by the power age from sensor node 1. While using RoundRobin method the communication continues up to 27 minutes 59 seconds with packet loss 27.40% for outdoor locations and 25 minutes 16 seconds for indoor locations with packet loss 28.14%.

Indicators of wireless technologies for monitoring the quality and management

2017 ◽  
Vol 11 (1) ◽  
pp. 14-24
Author(s):  
Е. М. Abbasov
Keyword(s):  
Wireless Lan ◽  
Sensor Nodes ◽  
Wireless Internet ◽  
Monitoring And Control ◽  
Ieee 802.11N ◽  
Wireless Technologies ◽  
Zigbee Technology ◽  
Transmission Of Information ◽  
And Control ◽  
Transmission Speed

The problems of integration of the various wireless technologies, for-consists in the provision of required transmission speed and the transmission of information over a considerable distance at low power sensor nodes transmitters wireless Internet-water network for remote monitoring. Analyzed the integration of wireless LAN standard IEEE 802.11n/g and Bluetooth. Determined Graphic analytical dependence-dence, the defining characteristics of the data rate for wireless IEEE 802.11n / g networks. It analyzes the main shortcomings of BSS associated with ef cient use of batteries; the basic Metody reduce energy consumption for WSN based on the ZigBee technology, based on the planning schemes of awakening and data collection schemes. The possibilities MeshLogic technology solutions for the monitoring and control tasks that are critical to BPE-autonomous work Meni sensors.

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