Development of ambient environmental monitoring system through wireless sensor network (WSN) using NodeMCU and “WSN monitoring”

Shkurti, Lamir; Bajrami, Xhevahir; Canhasi, Ercan; Besim, Limani; Krrabaj, Samedin; Hulaj, Astrit

doi:10.1109/meco.2017.7977235

Cited by 49 publications

(25 citation statements)

References 1 publication

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“…Data is transmitted from sensors digitally or analogically, but some sensors that have pins for both analog and digital , like a max30100 sensor connected with the Node MCU, VCC and GND sensors pins are connected to 5V and GND pin respectively, whereas SCL and SDL are connected to GPIO 22,GPIO 21 pins of MCU [7].The rest of the sensors used in this project apply the same connection, but the sensors that have analog transmission connect to Node via analog pins.…”

Section: Node Mcu Esp-32s and Sensorsmentioning

confidence: 99%

Combine Wearable Technique with Raspberry Pi to Design Sports Assessment System

Mohammed¹,

Marhoon²,

Moslem³

2020

IJCA

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Wearable devices and sensors are becoming more readily available to the general public and athletic teams .Technology advances have allowed individual athletes, sport teams, and clinicians to monitor functional activities, workloads, and biometric parameters to optimize performance and mitigate injury. The aim of this paper is to present an automatic monitoring system for the athlete player using open -source hardware platforms, Node MCU ESP32, Raspberry pi and sensors to measure heart rate, temperature, and rotary encoder sensor with router Wi-Fi and Message Queuing Telemetry(MQTT) protocol to store data in the database.The system is low-cost and more expandable in terms of sensors type and number of sensor nodes, which makes it suitable to measure the performance of athletes where coaches were able to obtain data on a scale for efficiency of the athlete and weaknesses to overcome them.

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Section: Node Mcu Esp-32s and Sensorsmentioning

confidence: 99%

Combine Wearable Technique with Raspberry Pi to Design Sports Assessment System

Mohammed¹,

Marhoon²,

Moslem³

2020

IJCA

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“…For IoT-based motor control, either the Message Queuing Telemetry Transport (MQTT) proto color Blynk is used as a server. The main function of the MQTT or Blynk server is to receive commands from clients, process the command and then send it to a microcontroller (board) via Internet [12]. The Internet A mobile application was developed for Android-based devices and for iPhone Operating System (IOS)-based, which is either an MQTT dashboard app, or a Blynk application, both of which can be downloaded to the smartphone.…”

Section: Servermentioning

confidence: 99%

Iot Based Platform for Smart Electric Fans

Vennapusa*¹,

Yammen²

2019

IJITEE

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Existing speed control systems on conventional electric fans operate in only three speed modes: Low, Medium and High. Changing the speed of the fan is a manual action which may be problematic for many users, such as senior citizens ordisabled users or any user with mobility problems. Using Internet of Things (IoT) technology solves this problem by allowing variation in fan speed from very low speed to the maximum speed as a linearly increasing speed function. This paper clearly explains the functioning of the IoT, and how to use IoT applications for automatic fan speed adjustments in this way, resulting in the SmartFan. A smart mobile phone with a mobile app is used as the remote controller. A control algorithm was developed to control the interactive communications between the smartphone and the electric fan. This control approach has proven to be a useful and convenient method for the remote control of electric fan speeds

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“…Several works have been published in the research fields related to WSNs, and many architectures [6][7][8] and protocols [9][10][11] have been produced. Typical WSNs are not complicated monitoring systems, whose applications embrace environment monitoring [12], infrastructure security [13], industrial sensing [14] and intelligent transportation systems [15]. In these WSNs, sensors collect the demanded information, frequently according to a fixed temporal schedule, and transmit it to the sink, which interfaces with a server or a computer.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

Pau

Salerno

2019

Electronics

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This paper introduces a fuzzy-based method that, according to the ratio of Throughput to Workload and the battery level, manages the sleeping time of devices in Wireless Sensor Networks (WSNs) for smart homes. The purpose of this work is a system that can be executed on off-the-shelf hardware and offers enhanced performance confronted with other approaches. The challenge here is to achieve a practical method that reaches the target while bypassing complex and computationally expensive solutions, which would diminish the possible applicability of the method in real scenarios. The retrieved results prove that the proposed approach outperforms other solutions, significantly prolonging the life of battery-powered wireless devices with also satisfactory values of the ratio Throughput to Workload. Besides, a proof-of-concept implementation on off-the-shelf devices confirms that the proposed method does not expect powerful hardware and can be surely implemented on a low-cost device.

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Development of ambient environmental monitoring system through wireless sensor network (WSN) using NodeMCU and “WSN monitoring”

Cited by 49 publications

References 1 publication

Combine Wearable Technique with Raspberry Pi to Design Sports Assessment System

Combine Wearable Technique with Raspberry Pi to Design Sports Assessment System

Iot Based Platform for Smart Electric Fans

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

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