Detection and Monitoring of Forest Fire Using Serial Communication and Wi-Fi Wireless Sensor Network

Ahlawat, Harsh Deep; Chauhan, R. P.

doi:10.1007/978-3-030-40305-8_23

Cited by 11 publications

(7 citation statements)

References 29 publications

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“…The uninterrupt of the system has been ensured by the Li-Po type of battery energy storage setup. The liveness of the forest has been monitored by the authority in the control room through the LoRaWAN networking module [19]. This automated alert system has the additional proficiency of fire extinguishing and prevention of deforesting action done by preprogrammed Adriano controller operations.…”

Section: The Elements Of Forest Remote Access Unit (Rau)mentioning

confidence: 99%

A Design and Development of the Smart Forest Alert Monitoring System Using IoT

Krishnamoorthy¹,

Asif²,

Kumar³

et al. 2023

Journal of Sensors

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Forest is one of the main sources of living organisms. Its needs start from the human breath to usage of the wood. But due to many reasons, area occupied by the forest is reducing every year. The reasons behind these environmental impacts are natural disasters (forest fires), deforestation activities, and unlawful actions. Forest fire could be creating most serious threat to wild animals and resources of human welfares. The primary phenomenon of the wild fire occurrence is circumstance hotness of the forest. The dry and hot atmosphere caused the fire in the forest. The deforestation and smuggling activities are also tridents to the available forest. The main consideration of this article is to detect wildfires in advance and protect forest resources from social crimes through advanced sensor integration in the IoT (Internet of Things) environment. A smart forest alert monitoring system has been proposed in this article to avoid forest mishap over by automated self-decision-making protective actions such as parameter measures and alert and implementing the harm mitigation actions related to the hot temperature, humidity, smoke, and smuggling of trees. All the sensors work as per the algorithm designed by the specific application of IoT (Internet of Things). The accurate predictions of the forest fire events and ensuring the forest safety have been tested and verified by a conducted case study on the real forest zone environment.

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Section: The Elements Of Forest Remote Access Unit (Rau)mentioning

confidence: 99%

A Design and Development of the Smart Forest Alert Monitoring System Using IoT

Krishnamoorthy¹,

Asif²,

Kumar³

et al. 2023

Journal of Sensors

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“…Light-emitting Diode Figure 15 shows that ATmega 2560 is used, which operates at 16 MHZ frequency, 256KB flash, 8KB RAM is the master microcontroller (MCU), or the brain of the whole system peripherals are connected to it. Esp8266 wi-fi module [27] is used for convenience and affordability compared to the SIM900,800 GPRS module [28]. SIM Card wi-fi router has been used in this module to provide a wi-fi access point to connect more than one device within a specific range, saving cost and working more efficiently.…”

Section: Light-emitting Diode (Led)mentioning

confidence: 99%

Internet of Things Based Smart Vending Machine using Digital Payment System

Alam

Sarma

Chakma

et al. 2021

IJEEI

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The advent of the Internet envisions a cashless society by enabling financial transactions through digital payments. Significantly, the emergence of coronavirus (COVID-19) disrupted our traditional cash handling means and triggered an inflexion point for switching towards contactless digital payments from physical cash payments. Furthermore, Internet of Things (IoT) technology escalates digital payments to the next level by enabling devices to render goods and services without requiring any human interaction. This research proposed an IoT-enabled cashless vending machine that incorporates both cloud computing and payment gateway for ordering and purchasing items through digital payment systems by using a mobile application. The system enables a pre-installed mobile application to scan the Quick Response (QR) code attached to the body of a vending machine, opens the portal of a webbased virtual machine through the code, allows user to choose and order items from the virtual vending, initiates and authorizes a digital payment through an IoT gateway installed inside the physical vending machine by establishing a connection between user's and vendor's financial entities, and finally, dispenses the ordered items by unlocking the shelves of the vending machine after the successful payment transaction. It operates in the Arduino platform with an ATmega 2560 Microcontroller and Esp8266 Wi-fi module as hardware components, mobile application software, and payment gateway API. The system performed an average response time of 14500 milliseconds to pick a product after running 150 consecutive API test calls. This result shows a satisfying time for enhancing customers' buying experiences with digital payment systems and a customizable and cost-effective IoT-based intelligent vending machine to introduce for mass production.

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“…The performance description of the E73-2G4M04S1B Bluetooth module is shown in Table 3. [16]. The module is packaged in a small size with a patch equipped with a PCB antenna and can use the serial port for data transmission and reception.…”

Section: Hardware Selection and Designmentioning

confidence: 99%

Design and Implementation of Intelligent Gateway System for Monitoring Livestock and Poultry Feeding Environment Based on Bluetooth Low Energy

Sun

Zheng

et al. 2021

Information

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This article proposes a gateway system design method applied to the monitoring of a breeding environment based on Bluetooth low energy consumption. Through the queue mechanism and buffer management method, the key information that has the greatest impact on the monitoring effect is sent first, and the feedback mechanism is used to adjust the sampling period of the node in conjunction with the abnormal degree of the monitoring parameter. Experimental results show that the system constructed in this article significantly shortens the transmission delay of key information, with an average packet loss rate of 1.09%. Compared with the traditional method, this method is more timely and effective in handling abnormal data. It effectively solves the short distance and low efficiency of Bluetooth “point-to-multipoint” communication in the case of high data concurrency, and improves the reliability and stability of communication. In turn, the losses caused by environmental mutations are reduced.

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Detection and Monitoring of Forest Fire Using Serial Communication and Wi-Fi Wireless Sensor Network

Cited by 11 publications

References 29 publications

A Design and Development of the Smart Forest Alert Monitoring System Using IoT

A Design and Development of the Smart Forest Alert Monitoring System Using IoT

Internet of Things Based Smart Vending Machine using Digital Payment System

Design and Implementation of Intelligent Gateway System for Monitoring Livestock and Poultry Feeding Environment Based on Bluetooth Low Energy

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