Development of WiFi Mesh Infrastructure for Internet of Things Applications

Muhendra, Rifki; Rinaldi, Aditya; Budiman, Maman; Khairurrijal, Khairurrijal

doi:10.1016/j.proeng.2017.03.045

Cited by 23 publications

(13 citation statements)

References 6 publications

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“…Data collection and storage were carried out in real-time and can be accessed by users anytime and anywhere. To calculate the air pollution index of Bandung Regency, the equation below was used [5]:…”

Section: Methodsmentioning

confidence: 99%

Monitoring and calculation of the air pollution standard index (APSI) of Bandung Regency

Hidayat¹,

Nazaruddin

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Air pollution is directly proportional to the rate of economic growth. With the growing economic life, more people will use high-tech materials, which can cause air pollution. The main problem of this pollution is decreasing air quality. This decrease in air quality is caused by many things, including excessive environmental exploitations, industrial activity, energy use, and vehicles exhaust emissions, all of which trigger pollution problems. Bandung Regency is surrounded by many industries, i.e., textile, garment, metal, printing, metal, food, furniture, and plastic. Thus, monitoring air pollution is imperative. The air parameters measured were Carbon monoxide and Nitrogen dioxide. The measurement duration is every 14 days, from June to July 2021. The sample location is divided into four regions, Margahayu, Kopo Katapang, Baleendah, and Dayeuh Kolot. The method used was the MCU 6814 sensor which has been calibrated by IQAir. Carbon monoxide measurements were taken every 8 hours, while nitrogen dioxide was measured every hour of the day. The average measurement for the four areas in the morning and evening was relatively good, 3-5 g/m3 for CO in the morning and 10-14 g/m3 at peak activity during the day. These results indicated the unhealthy air category.

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Section: Methodsmentioning

confidence: 99%

Monitoring and calculation of the air pollution standard index (APSI) of Bandung Regency

Hidayat¹,

Nazaruddin

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Each node in WMNs is linked to one or more other nodes through multi-hop connections, allowing the network transmission to take place through more than one path 15 . The project proposed by 16 create a Wi-Fi mesh network architecture for Internet of Things applications. This study's operating system is quick mesh project (QMP).…”

Section: Related Workmentioning

confidence: 99%

Evaluation Method of Mesh Protocol over ESP32 and ESP8266

et al. 2021

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Internet of Things (IoT) is one of the newest matters in both industry and academia of the communication engineering world. On the other hand, wireless mesh networks, a network topology that has been debate for decades that haven’t been put into use in great scale, can make a transformation when it arises to the network in the IoT world nowadays. A Mesh IoT network is a local network architecture in which linked devices cooperate and route data using a specified protocol. Typically, IoT devices exchange sensor data by connecting to an IoT gateway. However, there are certain limitations if it involves to large number of sensors and the data that should be received is difficult to analyze. The aim of the work here is to implement a self-configuring mesh network in IoT sensor devices for better independent data collection quality. The research conducted in this paper is to build a mesh network using NodeMCU ESP 8266 and NodeMCU ESP 32 with two types of sensor, DHT 11 and DHT 22. Hence, the work here has evaluated on the delay performance metric in Line-of-Sight (LoS) and Non-Line-of-Sight (nLos) situation based on different network connectivity. The results give shorter delay time in LoS condition for all connected nodes as well as when any node fail to function in the mesh network compared to nLoS condition. The paper demonstrates that the IoT sensor devices composing the mesh network is a must to leverage the link communication performance for data collection in order to be used in IoT-based application such as fertigation system. It will certainly make a difference in the industry once being deployed on large scale in the IoT world and make the IoT more accessible to a wider audience.

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“…China-based developer, Espreffit, developed ESP 8266 in many variants with ESP 012 series was used in this research. This wifi module is a System on Chip (SoC) to conduct direct programming into the ESP 8266 without an additional microcontroller [12], [13]. The ESP 8266 module also has an unrivaled ability to embed WiFi capabilities in other systems or function as a standalone application with low costs and minimal space requirements.…”

Section: Esp 8266mentioning

confidence: 99%

Monitoring and Controlling The Hybrid System Using The Internet Of Things For Energy Transaction

Wibowo

Lestari

2019

FESPE

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The electrical energy is an energy that is needed by the people. Theelectrical energy, to date, came from several power plants, such aselectric steam power plants and diesel power plants. The communitymust pay the service provider, such as the State ElectricityCompany (PLN) with a rising cost, to obtain electrical energy.However, there were other alternative energies, for example, solarpower plants and windmill power plants. The hybrid system is acombination of two or more different energy sources to meet thedemand. The hybrid system was also expected to solve the problemthat might arise in utilizing other energies, the site condition, andthe unpredicted situation on the power plant. The solution to theseproblems was a hybrid using a monitoring device with ACS 712sensor current parameter, ZMPT101B voltage sensor, LDR solarsensor, hybrid electrical energy power, controller for four electricalsource inputs and three electrical sources for the output load. Thedevice used Arduino Mega 2560 for data processing, ESP 8266 asthe module to connect the device to the internet network and relayas the control actuator. Monitoring and controlling the device usedthe internet network and the implementation of the Internet ofThings (IoT) on the hybrid system plants (PLN, generator, solarpower plant, windmill power plant) that was integrated into thewebsite. The overall test resulted in the comparison average errorvalue between the device and the measuring instrument of thecurrent, voltage, and power. The test also resulted in the averageerror value of the response time for the four input contacts and threeoutput contacts. The average error value of the current was 2.13%,the average error value of the voltage was 0.7%, and the averageerror value from the power parameter was 0%. Meanwhile, theaverage error value of response time was 0.23 seconds. Based onthe above results, it can be concluded that the monitoring andcontrolling system from the website with the implementation of theIoT in the hybrid power system was worked following the design.

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Development of WiFi Mesh Infrastructure for Internet of Things Applications

Cited by 23 publications

References 6 publications

Monitoring and calculation of the air pollution standard index (APSI) of Bandung Regency

Monitoring and calculation of the air pollution standard index (APSI) of Bandung Regency

Evaluation Method of Mesh Protocol over ESP32 and ESP8266

Monitoring and Controlling The Hybrid System Using The Internet Of Things For Energy Transaction

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