Subtopic Deep Dive
IoT Remote Monitoring Systems
Research Guide
What is IoT Remote Monitoring Systems?
IoT Remote Monitoring Systems using Arduino enable real-time data acquisition from sensors, wireless transmission, and cloud-based remote access for industrial and environmental oversight.
Arduino boards integrate sensors for parameters like temperature, gas leaks, air quality, and weather, transmitting data via WiFi modules such as ESP8266 or Wemos D1 to IoT platforms. Key applications span server room monitoring (Deswar and Pradana, 2021, 43 citations), mining sensor networks (Kim et al., 2020, 55 citations), and automatic watering systems (Prasojo et al., 2020, 47 citations). Over 10 reviewed papers from 2016-2021 highlight architectures for scalable data control (Cvjetković and Matijević, 2016, 44 citations).
Why It Matters
IoT remote monitoring with Arduino supports predictive maintenance in mining by acquiring sensor data for equipment health (Kim et al., 2020). In health and agriculture, systems enable telehealth temperature tracking and automated irrigation to cut costs (Prasojo et al., 2020; Hariyanto et al., 2020). Server and indoor air quality monitoring prevents failures and improves safety via real-time notifications (Deswar and Pradana, 2021; Waworundeng and Lengkong, 2018).
Key Research Challenges
Real-time Data Latency
Wireless transmission delays in Arduino IoT setups hinder timely alerts for gas leaks or temperature spikes (Roihan et al., 2016). ESP8266 modules face bandwidth limits in multi-sensor networks (Deswar and Pradana, 2021). Optimizing protocols remains critical for industrial scalability.
System Security Vulnerabilities
Exposed IoT endpoints in Arduino monitoring invite unauthorized access to server data (Deswar and Pradana, 2021). Mining applications lack robust encryption for remote sensor feeds (Kim et al., 2020). Authentication integration poses ongoing issues.
Scalability for Multi-Sensor Networks
Arduino boards struggle with high sensor counts in weather or air quality systems (Sharma and Prakash, 2021; Waworundeng and Lengkong, 2018). Power and memory constraints limit expansion (Cvjetković and Matijević, 2016). Distributed architectures need refinement.
Essential Papers
Applications of the Open-Source Hardware Arduino Platform in the Mining Industry: A Review
Sung-Min Kim, Yosoon Choi, Jangwon Suh · 2020 · Applied Sciences · 55 citations
In this study, applications of the Arduino platform in the mining industry were reviewed. Arduino, a representative and popular open-source hardware, can acquire information from various sensors, t...
Design of Automatic Watering System Based on Arduino
Ipin Prasojo, Andino Maseleno, Omar Tanane et al. · 2020 · Journal of Robotics and Control (JRC) · 47 citations
Food self-sufficiency is a government program that has been being actively promoted so that Indonesia can reach food independence by the end of 2019. Indonesia is a maritime country and also an agr...
Overview of Architectures with Arduino Boards as Building Blocks for Data Acquisition and Control Systems
Vladimir Cvjetković, Milan Matijević · 2016 · International Journal of Online and Biomedical Engineering (iJOE) · 44 citations
Standard SBCs (Single Board Computer) with number of standard shields and sensors can be used as building blocks for rapid development of network of intelligent devices with sensing, control and In...
MONITORING SUHU PADA RUANG SERVER MENGGUNAKAN WEMOS D1 R1 BERBASIS INTERNET OF THINGS (IOT)
Faisal Arief Deswar, Rizky Pradana · 2021 · Technologia Jurnal Ilmiah · 43 citations
Server sangat berperan penting dalam mengelola data dan mengatur jaringan dalam sebuah perusahan. Selama ini yang kebanyakan terjadi dalam pengaturan suhu AC hanya menggunakan remote control Masala...
Sistem Monitoring dan Notifikasi Kualitas Udara dalam Ruangan dengan Platform IoT
Jacquline Waworundeng, Oktoverano Lengkong · 2018 · CogITo Smart Journal · 42 citations
Penelitian ini membahas tentang prototipe alat pendeteksi kualitas udara di dalam ruangan dengan menggunakan mikrokontoler Wemos dan sensor MQ135 yang terhubung dengan platform IoT sebagai sistem m...
Monitoring the Environmental Temperature of the Arduino Assistance Engineering Faculty Using Telegram
M Wujut Hariyanto, Ade Hendri Hendrawan, Ritzkal Ritzkal · 2020 · Journal of Robotics and Control (JRC) · 35 citations
The temperature of the air is the state of hot air caused by the heat of the sun. Factors that affect the amount of solar heat received by the earth are cloud, the surface plane, the angle of the s...
Real Time Weather Monitoring System Using Iot
Puja Sharma, Shiva Prakash · 2021 · ITM Web of Conferences · 29 citations
In Today’s World, knowing live environmental condition is one of the biggest issues because there is an IoT of hurdles arrives when live environmental condition is measured. The proposed system wil...
Reading Guide
Foundational Papers
No pre-2015 foundational papers available; start with Cvjetković and Matijević (2016, 44 citations) for core Arduino architectures in data acquisition and control systems.
Recent Advances
Prioritize Kim et al. (2020, 55 citations) for industrial mining applications and Deswar and Pradana (2021, 43 citations) for server temperature monitoring advances.
Core Methods
Core techniques: Sensor integration (MQ135, DHT), ESP8266 WiFi transmission, IoT platforms for dashboards, Telegram notifications (Waworundeng and Lengkong, 2018; Roihan et al., 2016).
How PapersFlow Helps You Research IoT Remote Monitoring Systems
Discover & Search
Research Agent uses searchPapers with query 'Arduino IoT remote temperature monitoring' to retrieve Deswar and Pradana (2021), then citationGraph reveals 43 citing works on server oversight, while findSimilarPapers uncovers air quality parallels like Waworundeng and Lengkong (2018). exaSearch scans for ESP8266 implementations across mining reviews (Kim et al., 2020).
Analyze & Verify
Analysis Agent applies readPaperContent to extract sensor protocols from Roihan et al. (2016) gas monitoring, verifies claims via verifyResponse (CoVe) against Sharma and Prakash (2021) weather data, and runs PythonAnalysis with pandas to statistically compare latency metrics across 5 papers, graded by GRADE for evidence strength in scalability claims.
Synthesize & Write
Synthesis Agent detects gaps in security coverage between mining (Kim et al., 2020) and health monitoring papers, flags contradictions in ESP8266 power use, then Writing Agent uses latexEditText for architecture diagrams, latexSyncCitations to link 10 papers, and latexCompile for a review manuscript with exportMermaid flowcharts of Arduino-Cloud pipelines.
Use Cases
"Analyze latency data from Arduino IoT monitoring papers using Python."
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas plot of delays from Deswar 2021 and Roihan 2016) → matplotlib graph exported as PNG.
"Write LaTeX paper on Arduino gas leak monitoring architectures."
Synthesis Agent → gap detection → Writing Agent → latexEditText (intro/methods) → latexSyncCitations (Roihan et al. 2016) → latexCompile → PDF output.
"Find GitHub code for ESP8266 temperature monitoring from papers."
Research Agent → paperExtractUrls (Deswar 2021) → Code Discovery → paperFindGithubRepo → githubRepoInspect → verified Arduino sketch for Wemos D1.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ Arduino IoT papers: searchPapers → citationGraph → DeepScan (7-step verification with CoVe checkpoints on latency claims from Kim et al., 2020). Theorizer generates hypotheses on scalable architectures from Cvjetković and Matijević (2016), chaining gap detection to exportMermaid diagrams. DeepScan analyzes security in gas monitoring (Roihan et al., 2016) with runPythonAnalysis for vulnerability stats.
Frequently Asked Questions
What defines IoT Remote Monitoring Systems with Arduino?
Arduino-based systems acquire sensor data in real-time, transmit via WiFi to cloud platforms, and enable remote dashboards for parameters like temperature and gas (Cvjetković and Matijević, 2016).
What are common methods in Arduino IoT monitoring?
Methods use ESP8266/Wemos for WiFi, MQ135 for air quality, and Telegram for notifications, as in temperature (Hariyanto et al., 2020) and server monitoring (Deswar and Pradana, 2021).
What are key papers on this subtopic?
Top papers include Kim et al. (2020, 55 citations) on mining, Prasojo et al. (2020, 47 citations) on watering, and Deswar and Pradana (2021, 43 citations) on servers.
What open problems exist?
Challenges include reducing latency in multi-sensor nets (Sharma and Prakash, 2021), enhancing security (Roihan et al., 2016), and scaling beyond single-board limits (Cvjetković and Matijević, 2016).
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Part of the Arduino and IoT Applications Research Guide