scholarly journals IMPLEMENTATION OF DISTRIBUTED AVERAGE CONSENSUS METHOD ON WIRELESS SENSOR NETWORK FOR MONITORING TEMPERATURE AND HUMIDITY IN SWITCHGEAR ROOM

2021 ◽  
Vol 4 (1) ◽  
pp. 12
Author(s):  
Mohamad Tri Azis Budi Cahyono Putro
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Error Detection ◽  
Data Representation ◽  
Wireless Sensor ◽  
Consensus Method ◽  
Large Area ◽  
Average Percentage ◽  
Temperature And Humidity ◽  
Monitoring Temperature

The development of wireless sensor networks is currently very rapid in various sectors. One of the implementations of the wireless sensor network is for monitoring temperature and humidity. In monitoring a room or a large area, many nodes are installed at a certain point. With the number of senses by each node so that one data that can represent the area is needed. To get one data that can represent the data in that area, we need a consensus method. In this study, the average distributed consensus method was used to obtain data representation from an area's wireless sensor network. After testing and simulating the ideal range between WSN nodes is 30 meters where the average percentage of detection errors reaches 0%. And the maximum capability is 33 meters with an average percentage of error detection of 46%. If given a barrier between WSN nodes, the distance that can be reached becomes shorter, with an ideal distance of 16 meters with an average percentage of error detection of 0% and the farthest distance reaching 21 meters with a detection error of 50%. The results of the consensus method simulation show that the more slots are filled with consensus data about the results, the faster and easier convergence will be achieved, in this case the monitoring results represent the real situation.

scholarly journals SISTEM PEMANTAUAN KONSENTRASI CO KEBAKARAN HUTAN RIAU MENGGUNAKAN TEKNOLOGI WIRELESS SENSOR NETWORK (WSN) DAN INTERNET OF THINGS (IOT)

2019 ◽  
Vol 4 (2) ◽  
pp. 135-140
Author(s):  
Eko Prayitno ◽  
Desi Amirullah
Keyword(s):  
Carbon Monoxide ◽  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Wireless Sensor ◽  
Test Results ◽  
Temperature And Humidity ◽  
Condition Monitoring System

The purpose of this research is how to make an air condition monitoring system by considering the concentration value of carbon monoxide in Riau Province. The technology used to support monitoring system of carbon monoxide concentration, using Wireless Sensor Network Technology (WSN) and Internet of Things (IoT). One of the WSN concepts to be used is a combination of several sensors, the only sensors used to detect the level of carbonmonoxide concentration include: carbon monoxide, temperature and humidity sensors. Air condition data derived from the sensor in the form of concentration value of carbon monoxide, temperature and humidity of air sent to server connected to network using IoT technology. Based on the test results it can be concluded that the air condition monitoring system using WSN and IoT technology can be applied in realtime, this can be proven with the data shown in the monitoring tool. the detection of a fire source using a sensor can be done by using a distance between a smoke source (hotspot) and a device 90cm. From the observation result there is difference between sensing data without smoke and using smoke, such as temperature has 60C difference, humidity 20 rh and carbon monoxide about 17ppm

“Water” Use it - Wisely WSN-Irrigation System (WSN-IS) for Smart Home Garden

2019 ◽  
Vol 13 (2) ◽  
pp. 123-130 ◽  
Author(s):  
Santosh R. Durugkar ◽  
Ramesh C. Poonia ◽  
Radhakrishna B. Naik
Keyword(s):  
Soil Moisture ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Water Consumption ◽  
Soil Analysis ◽  
Wireless Sensor ◽  
Effect Of Temperature ◽  
Home Garden ◽  
End User ◽  
Temperature And Humidity

Background: India is the land of agriculture. Agriculture and gardening is not only done at a huge level but also at small piece of land, it is a backbone of Indian economy. Small gardens are maintained within the boundary of home. Water consumption in agriculture and gardening is at high level. But due to irregular monsoon and decreased ground water level it is hard to irrigate the farm and gardens. We have referred 03 patents which motivated us to revolutionize the agriculture sector. Objectives: Initial stages our scope is limited to home garden and we have proposed a GUI with which end user can get many things such as pH of the soil, conductivity and TDS of the water, temperature and humidity relationship, effect of temperature and humidity on the moisture, soil analysis, moisture holding capacity of the soil etc. Irrigation plays important role in yielding of any plant. In this proposed system, we have proposed a priority driven based irrigation model that supplies optimum and good quality water to the crops with the help of Wireless Sensor Network. Methods: This proposed model is based on sensing the soil moisture, temperature, humidity and other factor which affect the irrigation and supplies the water according to the priority of the requirement to the plant. It is crop independent system, which can be implemented for basic crops, commercials crops, garden and orchards, as basis for this proposed system is important to immediately irrigate the plant wherever soil moisture level will be less. Smart irrigation is the new trend and we can say thirst now a days and it is the major requirement due to many critical factors such as irregularity of monsoon, less availability of water etc. Even though sufficient water is available still we have to make sure whether it is good to use for better yielding of crops. At the same time temperature, humidity, air flow, soil moisture will play important roles in better crop yielding. Wireless sensor network in which ‘n’ no. of issues need to be discussed for the smooth execution of various tasks. Some challenges have been pointed out through this work and important issues which must be considered. Conclusion: final testing shows how this approach is beneficial to the society. In agriculture and gardening now onwards water consumption will be at low level. At the same time this proposed system shows additional advantages to the end user i.e. quality of water utilization in terms of TDS, Conductivity and pH of the water. Similarly, w.r.t. soil, if due to excess utilization of fertilizers and pesticides pH is changing then also same thing will be noticed by avoiding future losses.

scholarly journals An Anthurium Growth Environment Monitoring System Based on Wireless Sensor Network

2019 ◽  
Vol 15 (05) ◽  
pp. 69
Author(s):  
Jianqing Huang ◽  
Debing Liu ◽  
Qi Yuan
Keyword(s):  
Wireless Sensor Network ◽  
Light Intensity ◽  
Soil Temperature ◽  
Sensor Network ◽  
Monitoring System ◽  
Air Temperature ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Growth Environment ◽  
Temperature And Humidity

Anthurium is known as a famous and precious cut flower in the world, but its growth and ornamental effect is easily affected by environmental conditions such as temperature, humidity and light intensity. An environment parameter monitoring system based on wireless sensor network is proposed to let flower managers understand the status of anthurium growth environment at any time, and take effective measures to improve the environment. The proposed system uses sensor nodes to acquire data of air temperature and humidity, light intensity and soil temperature and humidity, sink node to collect data from sensor nodes through wireless sensor network, and send data to the PC of monitoring center. By using MSP430F149 as the main controller, nRF905 as the communication module, and AM2306, GY－30 and SMTS-II-485X as the air temperature and humidity, light intensity and soil temperature and humidity sensors, the hardware of the wireless sensor network nodes are realized. The node software is developed based on IAR Embedded Workbench and the computer monitoring software by VB6.0. The results show that the proposed system which is accurate and stable can make real-time monitoring of anthurium growth environment in a large scale.  Therefore it can be widely applied in agricultural environmental monitoring.

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