Zigbee Protocol-Based Communication Network for Multi-Unmanned Aerial Vehicle Networks

Pereira, Diego S.; Morais, Mateus Rodrigues de; Nascimento, Luís; Alsina, Pablo Javier; Santos, Vitor Gaboardi dos; Fernandes, Daniel H. S.; Silva, Maurício R.

doi:10.1109/access.2020.2982402

Cited by 27 publications

(11 citation statements)

References 33 publications

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“…The abovementioned street lamp control scheme has some inevitable defects, and the design scheme combining Internet technology and ZigBee technology can make up for these deficiencies [18]. Moreover, the ZigBee protocol can be used free of charge, thereby further reducing the cost of research and development [19]. In addition, the Internet technology is infiltrating all levels of social life with vigorous vitality.…”

Section: Public Art Of Smart Sensors and Information Fusionmentioning

confidence: 99%

Deconstruction of Urban Public Space Art Design Using Intelligent Sensor and Information Fusion

Sun

2022

Journal of Sensors

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The main purpose of smart city is to improve the quality of life, improve the efficiency of life, and save the energy resources of life, which is in line with the current global concept of low-carbon environmental protection, energy saving and emission reduction, and ecological sustainable development. Under the process of smart city, the development of urban public space is also committed to meeting the material and spiritual needs of residents’ lives. For the system hardware design, the street lamp node, and the concentrator node hardware design, the sensing node is composed of multiple sensors. Its main components are temperature sensor, infrared sensor, sound sensor, and light intensity sensor, which, respectively, realize the collection of temperature, infrared, sound, and light intensity information. The street light sensing system uses multisensor information fusion technology to detect the situation of people and vehicles in real time, so that people and vehicles can turn on the street lights and turn off the street lights of unmanned vehicles. Adjust the street light switch according to the intelligent analysis of the lighting demand scene in order to enhance the accuracy of the system to identify the lighting demand scene. This enables the system to provide safe lighting conditions for urban traffic while saving the power consumption of urban lighting. The sensor system of the street light randomly selects the detection results of temperature and humidity within a certain period of time. The error rate of the final test result is 1/2 of that of the traditional test, and the accuracy is far lower than that of the traditional measurement method. Regarding the lighting system of street lamps and public art in urban public spaces, it is worthy of extensive promotion to control street lamp lighting through sensor information fusion technology and reduce energy consumption.

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Section: Public Art Of Smart Sensors and Information Fusionmentioning

confidence: 99%

Deconstruction of Urban Public Space Art Design Using Intelligent Sensor and Information Fusion

Sun

2022

Journal of Sensors

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“…Multiple wireless communication protocols are used such as WIFI, Zigbee, Bluetooth or NFC. The major problem with Zigbee protocol is the insecure key exchange concern [22]. Various other protocols like Wi-Fi and Bluetooth are used for the very short range and not suitable for the proposed scenario.…”

Section: Comparison Analysis For Routing Protocolmentioning

confidence: 99%

A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

Jabeen¹,

Jabeen²,

Ashraf³

et al. 2022

Computers, Materials &Amp; Continua

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COVID-19 is a novel coronavirus disease that has been declared as a global pandemic in 2019. It affects the whole world through personto-person communication. This virus spreads by the droplets of coughs and sneezing, which are quickly falling over the surface. Therefore, anyone can get easily affected by breathing in the vicinity of the COVID-19 patient. Currently, vaccine for the disease is under clinical investigation in different pharmaceutical companies. Until now, multiple medical companies have delivered health monitoring kits. However, a wireless body area network (WBAN) is a healthcare system that consists of nano sensors used to detect the real-time health condition of the patient. The proposed approach delineates is to fill a gap between recent technology trends and healthcare structure. If COVID-19 affected patient is monitored through WBAN sensors and network, a physician or a doctor can guide the patient at the right time with the correct possible decision. This scenario helps the community to maintain social distancing and avoids an unpleasant environment for hospitalized patients Herein, a Monte Carlo algorithm guided protocol is developed to probe a secured cipher output. Security cipher helps to avoid wireless network issues like packet loss, network attacks, network interference, and routing problems. Monte Carlo based covid-19 detection technique gives 90% better results in terms of time complexity, performance, and efficiency. Results indicate that Monte Carlo based covid-19 detection technique with edge computing idea is robust in terms of time complexity, performance, and efficiency and thus, is advocated as a significant application for lessening hospital expenses.

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“…The application of the Raspberry Pi board has also been increased in recent years. It has been used in increasing efficient usage of real-time traffic transportation [13], design of wireless vision sensor network for smart home [14], communication network for Multi-unmanned aerial vehicle networks [15]. The Raspberry Pi has also been used in the implementation of 3D wavelet transform [16], screening of skin cancer [17], and air quality monitoring [18].…”

Section: Related Workmentioning

confidence: 99%

Assessment of Water Quality Parameters in Real-Time Environment

Khatri

Gupta

2020

SN COMPUT. SCI.

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Assessment of drinking water quality has been an important issue nowadays as the water available is severely polluted and can be the cause of diseases like cholera, diarrhea, dysentery, etc. The traditional methods for water quality monitoring require a high-labor-cost and tine consumption as these methods include a sample collection followed by lab-based chemical testing. In addition, the chemicals used in the testing are toxic and of high-cost. So, there is a need for real-time monitoring and chemical-free testing of water quality parameters. This paper presents a real-time water quality monitoring system based on the Raspberry Pi 3 development board and a Python framework. The water quality parameters utilized for water quality monitoring are temperature, pH, oxidation reduction potential, electrical conductivity, and dissolved oxygen and E. coli. The water quality sensors were interfaced with the designed embedded platform. Finally, the acquired parameters were compared with the benchmark equipment for validation.

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Zigbee Protocol-Based Communication Network for Multi-Unmanned Aerial Vehicle Networks

Cited by 27 publications

References 33 publications

Deconstruction of Urban Public Space Art Design Using Intelligent Sensor and Information Fusion

Deconstruction of Urban Public Space Art Design Using Intelligent Sensor and Information Fusion

A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

Assessment of Water Quality Parameters in Real-Time Environment

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