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Physical Sciences · Computer Science

IoT-based Control Systems
Research Guide

What is IoT-based Control Systems?

IoT-based control systems are networked infrastructures that integrate Internet of Things devices, sensors, and controllers to automate and monitor physical processes such as irrigation, lighting, ventilation, and security in real-time.

IoT-based control systems comprise 23,115 works in computer science applications, focusing on integrating sensors and wireless networks for operational control in sectors like agriculture and smart homes. Key implementations include real-time irrigation monitoring via wireless sensor networks and mobile-based lighting control using Raspberry Pi. Applications extend to fuzzy logic controllers for ventilation and IoT door security systems, enabling remote management and data-driven adjustments.

Topic Hierarchy

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graph TD D["Physical Sciences"] F["Computer Science"] S["Computer Science Applications"] T["IoT-based Control Systems"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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23.1K
Papers
N/A
5yr Growth
30.9K
Total Citations

Research Sub-Topics

Why It Matters

IoT-based control systems enable precise automation in agriculture, as demonstrated by Arie Setya Putra et al. (2018) in "Sistem Monitoring Realtime Jaringan Irigasi Desa (JIDES) Dengan Konsep Jaringan Sensor Nirkabel", which supports food self-sufficiency through real-time wireless sensor monitoring of village irrigation networks with 335 citations. In building management, Yoyon Efendi (2018) in "Internet Of Things (Iot) Sistem Pengendalian Lampu Menggunakan Raspberry Pi Berbasis Mobile" allows remote lamp control via mobile devices, cited 161 times, reducing manual intervention. Ventilation optimization uses fuzzy logic, with Shubham Sharma and Ahmed J. Obaid (2020) designing MATLAB-based controllers to balance air quality and energy use, cited 162 times. Security applications like Arafat (2016)'s IoT door system with ESP8266 provide real-time alerts against intrusions, cited 108 times, enhancing residential safety across these domains.

Reading Guide

Where to Start

"Panduan Praktis Mempelajari Aplikasi Mikrokontroler dan Pemrogramannya menggunakan Arduino" by Abdul Kadir (2013) serves as the beginner start because it provides practical guidance on Arduino microcontrollers, foundational for implementing IoT sensors and control in papers like those using Raspberry Pi and ultrasonic sensors.

Key Papers Explained

Arie Setya Putra et al. (2018) "Sistem Monitoring Realtime Jaringan Irigasi Desa (JIDES) Dengan Konsep Jaringan Sensor Nirkabel" establishes wireless sensor foundations for real-time control, cited 335 times, which Yoyon Efendi (2018) "Internet Of Things (Iot) Sistem Pengendalian Lampu Menggunakan Raspberry Pi Berbasis Mobile" builds on by applying continuous internet connectivity to Raspberry Pi for mobile lamp control, cited 161 times. Shubham Sharma and Ahmed J. Obaid (2020) "Mathematical modelling, analysis and design of fuzzy logic controller for the control of ventilation systems using MATLAB fuzzy logic toolbox" advances this with fuzzy logic modeling for ventilation, integrating sensor data for energy-efficient decisions, cited 162 times. Arafat (2016) "SISTEM PENGAMANAN PINTU RUMAH BERBASIS Internet Of Things (IoT) Dengan ESP8266" extends IoT communication to security, using ESP8266 for door monitoring, cited 108 times.

Paper Timeline

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graph LR P0["Operasi sistem tenaga listrik
2006 · 152 cites"] P1["The Effect of the Internet of Th...
2016 · 182 cites"] P2["ANALISIS QoS QUALITY OF SERVICE...
2016 · 134 cites"] P3["Sistem Monitoring Realtime Jarin...
2018 · 335 cites"] P4["Internet Of Things Iot Sistem ...
2018 · 161 cites"] P5["Internet Of Things Iot Sistem ...
2018 · 135 cites"] P6["Mathematical modelling, analysis...
2020 · 162 cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P3 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Research emphasizes scaling wireless sensors for agriculture and refining fuzzy controllers for ventilation, as seen in top-cited works, with focus on QoS analysis like Rika Wulandari (2016) for reliable networks. No recent preprints or news indicate ongoing refinements in mobile-integrated controls using Raspberry Pi and ESP8266.

Papers at a Glance

Frequently Asked Questions

What is an example of IoT-based control in agriculture?

Arie Setya Putra et al. (2018) developed "Sistem Monitoring Realtime Jaringan Irigasi Desa (JIDES) Dengan Konsep Jaringan Sensor Nirkabel" for real-time irrigation network monitoring using wireless sensors. This system supports national food self-sufficiency by tracking water distribution in village networks. It has received 335 citations.

How does IoT enable lighting control?

Yoyon Efendi (2018) implemented IoT lamp control using Raspberry Pi and mobile interfaces in "Internet Of Things (Iot) Sistem Pengendalian Lampu Menggunakan Raspberry Pi Berbasis Mobile". Devices connect continuously to the internet for remote operation of room lights. The paper has 161 citations.

What role does fuzzy logic play in IoT ventilation control?

Shubham Sharma and Ahmed J. Obaid (2020) designed a fuzzy logic controller in "Mathematical modelling, analysis and design of fuzzy logic controller for the control of ventilation systems using MATLAB fuzzy logic toolbox" to manage indoor CO2 and energy use. It prevents health risks from poor air quality while avoiding excess ventilation. The work has 162 citations.

How is IoT applied to home security?

Arafat (2016) created an IoT door security system using ESP8266 in "SISTEM PENGAMANAN PINTU RUMAH BERBASIS Internet Of Things (IoT) Dengan ESP8266". It sends real-time notifications of intrusions via device communication. The paper has 108 citations.

What is the impact of IoT on education through control systems?

Maryam Bagheri and Siavosh Kavahighi Movahed (2016) analyzed IoT's effects in "The Effect of the Internet of Things (IoT) on Education Business Model", integrating sensors and cloud computing for augmented reality in learning. This transforms educational institutions via object-to-internet communications. It has 182 citations.

How do sensors contribute to IoT monitoring?

Fitri Puspasari et al. (2019) used HC-SR04 ultrasonic sensors with Arduino Due for height monitoring in "Sensor Ultrasonik HCSR04 Berbasis Arduino Due Untuk Sistem Monitoring Ketinggian". It enables non-contact digital measurements replacing manual methods. The paper has 109 citations.

Open Research Questions

  • ? How can wireless sensor networks in irrigation systems scale to larger agricultural regions while maintaining real-time reliability?
  • ? What optimizations improve energy efficiency in fuzzy logic controllers for IoT ventilation under varying environmental loads?
  • ? How do mobile-based IoT interfaces ensure secure remote control of building systems like lighting against unauthorized access?
  • ? What integration challenges arise when combining ESP8266 modules with home security sensors for robust IoT alerting?
  • ? How might IoT control systems adapt pedagogical tools in education for enhanced student engagement in virtual environments?

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