scholarly journals FlexiS—A Flexible Sensor Node Platform for the Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5154
Author(s):  
Duc Minh Pham ◽  
Syed Mahfuzul Aziz
Keyword(s):  
Internet Of Things ◽  
High Performance ◽  
Sensor Node ◽  
Economic Benefits ◽  
Sensor Nodes ◽  
The Internet ◽  
Flexible Sensor ◽  
Sensing Platforms ◽  
And Performance ◽  
The Internet Of Things

In recent years, significant research and development efforts have been made to transform the Internet of Things (IoT) from a futuristic vision to reality. The IoT is expected to deliver huge economic benefits through improved infrastructure and productivity in almost all sectors. At the core of the IoT are the distributed sensing devices or sensor nodes that collect and communicate information about physical entities in the environment. These sensing platforms have traditionally been developed around off-the-shelf microcontrollers. Field-Programmable Gate Arrays (FPGA) have been used in some of the recent sensor nodes due to their inherent flexibility and high processing capability. FPGAs can be exploited to huge advantage because the sensor nodes can be configured to adapt their functionality and performance to changing requirements. In this paper, FlexiS, a high performance and flexible sensor node platform based on FPGA, is presented. Test results show that FlexiS is suitable for data and computation intensive applications in wireless sensor networks because it offers high performance with low energy profile, easy integration of multiple types of sensors, and flexibility. This type of sensing platforms will therefore be suitable for the distributed data analysis and decision-making capabilities the emerging IoT applications require.

scholarly journals Energy Balancing of a Heuristic Algorithm for the Path Planning of Mobile Sensor Nodes

2016 ◽  
Vol 12 (05) ◽  
pp. 58
Author(s):  
X. Xu ◽  
B. Z. Liu
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Network Lifetime ◽  
Heuristic Algorithm ◽  
Sensor Node ◽  
Sensor Nodes ◽  
The Internet ◽  
Mobile Sensor ◽  
Mobile Sensor Nodes ◽  
The Internet Of Things

A wireless sensor network (WSN) is one of the core technologies of the Internet of things. It is an important means to realize a real-time geographic information system. Related research has shown that in the future, tens of billions of sensors and intelligent terminal equipment will be connected to WSNs based on the establishment of the function of the Internet of things. This study presents a heuristic algorithm to balance the energy consumption of each sensor node. It proposes a new real-time dynamic allocation algorithm for sensor tasks based on the concept of this heuristic algorithm and by considering that a multisensory system is composed of a phased-array radar. This allocation algorithm can dynamically assign tasks to the most suitable sensor before tasks fail to arrive, which ensures that the sensor can achieve a good load balance and extend network lifetime. A simulation experiment is conducted, and results validate the proposed algorithm. The energy consumption of mobile sensor nodes is effectively balanced. The path-planning algorithm standardizes the energy consumption of each mobile sensor node across the network , thereby effectively prolonging network lifetime.

scholarly journals Generation of broadcasting for fractal adaptive Internet of things reconfiguration under the swarm intelligence paradigm

2020 ◽  
Vol 16 (6) ◽  
pp. 155014772092755
Author(s):  
Jaime Moreno ◽  
Oswaldo Morales ◽  
Ricardo Tejeida ◽  
Hugo Quintana ◽  
Grigori Sidorov
Keyword(s):  
Internet Of Things ◽  
Sensor Node ◽  
Dynamic Environments ◽  
General Purpose ◽  
Sensor Nodes ◽  
The Internet ◽  
Cellular Telephones ◽  
Wide Range ◽  
L Systems ◽  
The Internet Of Things

Recently, a wide range of small devices, such as Wi-Fi Internet of things development boards, which are a kind of the microcontroller units in a general purpose board, are interrelated throughout the planet. In addition, certain microcontroller units interact inside our homes when turning lights on or detecting movements, measuring various parameters, such as gas concentrations, [Formula: see text], humidity, and the temperature inside a room, or adjusting the intensity of the lights inside and outside of the house. Likewise, there is a great diversity of microcontroller units, ranging from smart cellular telephones or reduced general purpose devices, ESP8266 or RaspberryPi3 to any type of Internet of things devices. Therefore, the general way of connecting the microcontroller units to the Internet is through hub nodes, so that the information can be propagated and shared among them. The main purpose of this article is to yield an adaptive reconfiguration algorithm to link all the sensor nodes (microcontroller units) of a network based on the fractal topology, avoiding the use of hub nodes, in order for the microcontroller units to share all the parameters established in the Internet of things network only through two adjacent sensor nodes as long as any sensor node in the network knows all the parameters of the other ones, even if the sensor nodes are not adjacent. To achieve the above, in this work, an Internet of things network was built based on the Hilbert fractal for being a filling-space curve yielded from the L-systems paradigm, so this fractal Hilbert topology allows access to the entire Internet of things network in a dynamic way, and it is possible to reconfigure the network topology when a new sensor node is attached by applying artificial intelligence to intelligent and dynamic environments.

Maximizing piezoelectricity by self-assembled highly porous perovskite–polymer composite films to enable the internet of things

2020 ◽  
Vol 8 (27) ◽  
pp. 13619-13629 ◽  
Author(s):  
Asif Abdullah Khan ◽  
Md Masud Rana ◽  
Guangguang Huang ◽  
Nanqin Mei ◽  
Resul Saritas ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Polymer Composite ◽  
High Performance ◽  
Composite Films ◽  
The Internet ◽  
Next Generation ◽  
Self Assembled ◽  
Self Powered ◽  
The Internet Of Things ◽  
Highly Porous

A high-performance perovskite/polymer piezoelectric nanogenerator for next generation self-powered wireless micro/nanodevices.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

2021 ◽  
pp. 1-7
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Internet Of Things ◽  
The Internet ◽  
Sports Training ◽  
Accident Data ◽  
And Performance ◽  
Control Technologies ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

MEGAN: Multipurpose Energy-Efficient, Adaptable, and Low-Cost Wireless Sensor Node for the Internet of Things

2020 ◽  
Vol 14 (1) ◽  
pp. 144-151 ◽  
Author(s):  
Sudip Misra ◽  
Sanku Kumar Roy ◽  
Arijit Roy ◽  
Mohammad S. Obaidat ◽  
Avantika Jha
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Sensor Node ◽  
Low Cost ◽  
Wireless Sensor ◽  
The Internet ◽  
Wireless Sensor Node ◽  
The Internet Of Things

Challenges and prospects of 3D micro-supercapacitors for powering the internet of things

2019 ◽  
Vol 12 (1) ◽  
pp. 96-115 ◽  
Author(s):  
Christophe Lethien ◽  
Jean Le Bideau ◽  
Thierry Brousse
Keyword(s):  
Energy Storage ◽  
Solid State ◽  
Internet Of Things ◽  
High Performance ◽  
Storage Systems ◽  
Electronic Devices ◽  
Electrochemical Energy Storage ◽  
The Internet ◽  
The Internet Of Things ◽  
Internet Of Thing

The fabrication of miniaturized electrochemical energy storage systems is essential for the development of future electronic devices for Internet of Thing applications. This paper aims at reviewing the current micro-supercapacitor technologies and at defining the guidelines to produce high performance micro-devices with special focuses onto the 3D designs as well as the fabrication of solid state miniaturized devices to solve the packaging issue.

scholarly journals Development of Metal Polishing Dust Monitoring System using the Internet of Things and Cloud Server

2019 ◽  
Vol 15 (04) ◽  
pp. 53
Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Environmental Information ◽  
Sensor Nodes ◽  
The Internet ◽  
Sink Node ◽  
Remote Monitoring System ◽  
Cloud Server ◽  
The Internet Of Things

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.

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