scholarly journals A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4228
Author(s):  
Tércio Filho ◽  
Luiz Fernando ◽  
Marcos Rabelo ◽  
Sérgio Silva ◽  
Carlos Santos ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Environmental Monitoring ◽  
Information Exchange ◽  
Data Flow ◽  
Environmental Data ◽  
Mesh Network ◽  
Soil Conditions ◽  
Processing Unit ◽  
Flow Modeling ◽  
State Variables

The environment consists of the interaction between the physical, biotic, and anthropic means. As this interaction is dynamic, environmental characteristics tend to change naturally over time, requiring continuous monitoring. In this scenario, the internet of things (IoT), together with traditional sensor networks, allows for the monitoring of various environmental aspects such as air, water, atmospheric, and soil conditions, and sending data to different users and remote applications. This paper proposes a Standard-based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring. The platform consists of an IoT network based on the IEEE 1451 standard which has the network capable application processor (NCAP) node (coordinator) and multiple wireless transducers interface module (WTIM) nodes. A WTIM node consists of one or more transducers, a data transfer interface and a processing unit. Thus, with the developed network, it is possible to collect environmental data at different points within a city landscape, to perform analysis of the communication distance between the WTIM nodes, and monitor the number of bytes transferred according to each network node. In addition, a dynamic model of data flow is proposed where the performance of the NCAP and WTIM nodes are described through state variables, relating directly to the information exchange dynamics between the communicating nodes in the mesh network. The modeling results showed stability in the network. Such stability means that the network has capacity of preserve its flow of information, for a long period of time, without loss frames or packets due to congestion.

scholarly journals INCORPOARATION OF GEOSENSOR NETWORKS INTO INTERNET OF THINGS FOR ENVIRONMENTAL MONITORING

2015 ◽  
Vol XL-1-W5 ◽  
pp. 259-261 ◽  
Author(s):  
R. Habibi ◽  
A. A. Alesheikh
Keyword(s):  
Internet Of Things ◽  
Environmental Monitoring ◽  
Communication Technologies ◽  
Environmental Data ◽  
Pollution Monitoring ◽  
The Internet ◽  
Air Pollution Monitoring ◽  
Sensor Web ◽  
The Internet Of Things ◽  
Resolution Data

Thanks to the recent advances of miniaturization and the falling costs for sensors and also communication technologies, Internet specially, the number of internet-connected things growth tremendously. Moreover, geosensors with capability of generating high spatial and temporal resolution data, measuring a vast diversity of environmental data and automated operations provide powerful abilities to environmental monitoring tasks. Geosensor nodes are intuitively heterogeneous in terms of the hardware capabilities and communication protocols to take part in the Internet of Things scenarios. Therefore, ensuring interoperability is an important step. With this respect, the focus of this paper is particularly on incorporation of geosensor networks into Internet of things through an architecture for monitoring real-time environmental data with use of OGC Sensor Web Enablement standards. This approach and its applicability is discussed in the context of an air pollution monitoring scenario.

scholarly journals Elastic Computing in the Fog on Internet of Things to Improve the Performance of Low Cost Nodes

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1489 ◽  
Author(s):  
Rafael Fayos-Jordan ◽  
Santiago Felici-Castell ◽  
Jaume Segura-Garcia ◽  
Adolfo Pastor-Aparicio ◽  
Jesus Lopez-Ballester
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Low Cost ◽  
Fog Computing ◽  
Mesh Network ◽  
Raspberry Pi ◽  
The Internet ◽  
Processing Unit ◽  
Computing Paradigm ◽  
Elastic Computing

The Internet of Things (IoT) is a network widely used with the purpose of connecting almost everything, everywhere to the Internet. To cope with this goal, low cost nodes are being used; otherwise, it would be very expensive to expand so fast. These networks are set up with small distributed devices (nodes) that have a power supply, processing unit, memory, sensors, and wireless communications. In the market, we can find different alternatives for these devices, such as small board computers (SBCs), e.g., Raspberry Pi (RPi)), with different features. Usually these devices run a coarse version of a Linux operating system. Nevertheless, there are many scenarios that require enhanced computational power that these nodes alone are unable to provide. In this context, we need to introduce a kind of collaboration among the devices to overcome their constraints. We based our solution in a combination of clustering techniques (building a mesh network using their wireless capabilities); at the same time we try to orchestrate the resources in order to improve their processing capabilities in an elastic computing fashion. This paradigm is called fog computing on IoT. We propose in this paper the use of cloud computing technologies, such as Linux containers, based on Docker, and a container orchestration platform (COP) to run on the top of a cluster of these nodes, but adapted to the fog computing paradigm. Notice that these technologies are open source and developed for Linux operating system. As an example, in our results we show an IoT application for soundscape monitoring as a proof of concept that it will allow us to compare different alternatives in its design and implementation; in particular, with regard to the COP selection, between Docker Swarm and Kubernetes. We conclude that using and combining these techniques, we can improve the overall computation capabilities of these IoT nodes within a fog computing paradigm.

scholarly journals Autonomous WiFi Sensor for Heating Systems in the Internet of Things

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
C. A. Trasviña-Moreno ◽  
R. Blasco ◽  
R. Casas ◽  
A. Marco
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Cities ◽  
High Energy ◽  
Environmental Data ◽  
The Internet ◽  
Processing Unit ◽  
Heating Systems ◽  
Thermoelectric Energy Harvesting ◽  
The Internet Of Things

In smart cities and home applications, the use of Wireless Sensor Networks to extract environmental data becomes more common with the passing of time. These sensors are used for a wide array of applications, but mainly to manage energy consumption in domestic buildings. One of the key energy consumers in households is heating systems. To monitor them, sensors are used with wireless communication protocols, like ZigBee, to transmit data to a central processing unit (CPU). WiFi communications, on the contrary, are rarely seen in these implementations due to its high energy consumption, although almost in every home one can find such networks. Yet, with the Internet of Things (IoT), new revisions of the standard have arisen which enable this technology for wireless sensing. To validate this theory and fill a technological necessity, this proposal is presented. In this work, the design and implementation of an autonomous WiFi sensor, paired with thermoelectric energy harvesting, are presented as an IoT solution for monitoring heating devices. For this, a thorough analysis of the proposed architecture is presented. Tests regarding energy consumption and generation, efficiency, and real world scenario trials are done. Finalizing, a comparison between the obtained results and current implementations is shown.

Design of Intelligent Supervised System Based on Internet of Things

2013 ◽  
Vol 816-817 ◽  
pp. 967-970
Author(s):  
Xiao Na Song ◽  
Jun Zheng ◽  
Pei Li ◽  
Xiao Xia Hou ◽  
Jing Rong Zhang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Intelligent Control ◽  
Software Design ◽  
Information Exchange ◽  
Environmental Data ◽  
Low Power Consumption ◽  
Design Idea ◽  
Real Time Information ◽  
And Control ◽  
Time Information

Based on technology of Internet of Things, an intelligent supervised system for housing is formed to monitor various parameters at home. This system adopts special sensors to sample the environmental data, and will send alarm information through the GPRS gateway to the mobile phone of the host once the data beyonds the allowable value. Through information exchange between host and the supervised system, people can check the real time information of home and commit intelligent control. This paper introduced the structure, the hardware and software design idea of the supervised system. Special designs ensure that the system has relatively low power consumption and can be easily used for housing supervision and control.

scholarly journals Internet of Vehicles: Commencing Intellectual Hoarse Towards Self-Regulating Cars and Vehicular Clouds for Smart Transportation Structure [Vehicular Ad-Hoc Network: A Review and Application in the Internet of Vehicles]

2018 ◽  
Vol 7 (3.12) ◽  
pp. 545
Author(s):  
Risabh Mishra ◽  
M Safa ◽  
Aditya Anand
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Automobile Industry ◽  
Information Exchange ◽  
Large Scale ◽  
Intelligent Transportation System ◽  
Information Service ◽  
The Internet ◽  
Internet Of Vehicles ◽  
The Internet Of Things

Recent advances in wireless communication technologies and automobile industry have triggered a significant research interest in the field of Internet of Vehicles over the past few years.The advanced period of the Internet of Things is guiding the development of conventional Vehicular Networks to the Internet of Vehicles.In the days of Internet connectivity there is need to be in safe and problem-free environment.The Internet of Vehicles (IoV) is normally a mixing of three networks: an inter-vehicleNetwork, an intra-vehicle network, and a vehicle to vehicle network.Based on  idea of three networks combining into one, we define  Internet of Vehicles as a large-scale distributed system to wireless communication and information exchange between vehicle2X (X: vehicle, road, human and internet).It is a combined   network for supporting intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control, representation of an application of the Internet of Things (IoT) technology for intelligent transportation system (ITS).  

Applying the Internet of Things into Ecological Environmental Monitoring

2012 ◽  
Vol 198-199 ◽  
pp. 1755-1760 ◽  
Author(s):  
Guo Ping Zhou ◽  
Ya Nan Chen
Keyword(s):  
Internet Of Things ◽  
Environmental Monitoring ◽  
Software Design ◽  
Ecological Environment ◽  
Future Research ◽  
The Internet ◽  
Environment Monitoring ◽  
Carbon Dioxide Gas ◽  
Data Collection And Analysis ◽  
The Internet Of Things

Applying the Internet of Things (IOT) into ecological environmental monitoring is the goal of this paper. There are several advantages of the Internet of Things (IOT) applying in ecological environment monitoring. A hierarchical monitoring system is presented, including system architecture, hardware/software design, information flow and software implementation. In the end, using carbon dioxide gas in the atmosphere for experimental purposes, in data collection and analysis. Experiments showed that this system is capable of monitoring ecologica environment, which orientate the future research of forest ecosystem.

scholarly journals Construction of Distance Education Classroom in Architecture Specialty Based on Internet of Things Technology

2016 ◽  
Vol 11 (05) ◽  
pp. 56 ◽  
Author(s):  
Yuqiao YANG ◽  
Kanhua YU
Keyword(s):  
Internet Of Things ◽  
Information Exchange ◽  
Industrial Development ◽  
Industrial Revolution ◽  
Hot Spot ◽  
Teaching Experiment ◽  
Sensor Technology ◽  
Distance Teaching ◽  
Database Technology ◽  
Internet Of Things Technology

Internet of Things technology and industrial development will trigger a new round of information technology revolution and industrial revolution, and they are the commanding point of future competition in information industry and core driving force of industrial upgrade. This paper introduces current situation of distance teaching of Internet of Things and architecture specialties, designs and implements distance teaching experiment system platform for architecture specialty based on Internet of Things. This system is based on ZigBee /GPRS wireless network technology, sensor technology, embedded technology, Web distributed software technology and database technology. Besides, it adopts three interlinked networks and achieves efficient connection of multiple experiment terminals, servers and clients. As well, the information exchange is fast. Hence, it is convenient for practical application of distance teaching. The results of teaching experiment show that Internet of Things technology can improve students’ academic performance and teachers’ teaching effect. Therefore, it is a hot spot in modern teaching technology, so we should pay attention to it.

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