Smart Environment Monitoring Testbed

2018 ◽  
pp. 787-798 ◽  
Author(s):  
Dario Masucci ◽  
Chiara Foglietta ◽  
Cosimo Palazzo ◽  
Stefano Panzieri
Keyword(s):  
Smart Environment ◽  
Environment Monitoring

scholarly journals Smart Environment Monitoring System using Unmanned Aerial Vehicle in Bangladesh

2018 ◽  
pp. 165995
Author(s):  
Md. Al-Farabi ◽  
Muntasir Chowdhury ◽  
Md. Readuzzaman ◽  
Md. Hossain ◽  
Saifur Sabuj ◽  
...  
Keyword(s):  
Monitoring System ◽  
Unmanned Aerial Vehicle ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Aerial Vehicle

scholarly journals IoT for Smart Environment Monitoring Based on Python: A Review

2021 ◽  
pp. 57-70
Author(s):  
Saad Hikmat Haji ◽  
Amira B. Sallow
Keyword(s):  
Water Pollution ◽  
Machine Learning ◽  
Internet Of Things ◽  
Environmental Monitoring ◽  
Sensor Technology ◽  
The Internet ◽  
Smart Environment ◽  
Environment Monitoring ◽  
The Internet Of Things

Air pollution, water pollution, and radiation pollution are significant environmental factors that need to be addressed. Proper monitoring is crucial with the goal that by preserving a healthy society, the planet can achieve sustainable development. With advancements in the internet of things (IoT) and the improvement of modern sensors, environmental monitoring has evolved into a smart environment monitoring (SEM) system in recent years. This article aims to have a critical overview of significant contributions and SEM research, which include monitoring the quality of air , water pollution, radiation pollution, and agricultural systems. The review is divided based on the objectives of applying SEM methods, analyzing each objective about the sensors used, machine learning, and classification methods. Moreover, the authors have thoroughly examined how advancements in sensor technology, the Internet of Things, and machine learning methods have made environmental monitoring into a truly smart monitoring system.

A Smart Environment Monitoring Framework Using Big Data and IoT

2021 ◽  
Author(s):  
YCA Padmanabha Reddy ◽  
T. Parameswaran ◽  
R. Sathiyaraj
Keyword(s):  
Big Data ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Monitoring Framework

Data Storage in the Fog Computing for Smart Environment Monitoring System (SEMS)

2019 ◽  
Vol 16 (8) ◽  
pp. 3196-3200
Author(s):  
M. Jalasri ◽  
S. Nalini ◽  
N. Magesh Kumar ◽  
J. Elumalai
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Data Storage ◽  
Smart Cities ◽  
Fog Computing ◽  
Mobile App ◽  
Smart Environment ◽  
Air Quality Management ◽  
Environment Monitoring ◽  
Basic Parameters

Environment monitoring system for smart cities uses diverse kind of sensors which is used to accumulate the information for managing the resources efficiently. Environment monitoring system provides services such as automation of home, weather monitoring, air quality management and prediction of pollution. This paper presents the customized design on environment monitoring the basic parameters are temperature, humidity and CO2. These sensed data need to be stored and processed. In previous system, sensed data are stored using cloud computing. In proposed system, Fog computing is used to store the sensed data from smart environment monitoring system (SEMS) and transfer the data to the mobile app from the fog device which is more efficient than cloud computing.

scholarly journals Advances in Smart Environment Monitoring Systems Using IoT and Sensors

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3113 ◽  
Author(s):  
Silvia Liberata Ullo ◽  
G. R. Sinha
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Sustainable Growth ◽  
Machine Learning Techniques ◽  
Sensor Technology ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Learning Techniques ◽  
Quality Water ◽  
Major Factors

Air quality, water pollution, and radiation pollution are major factors that pose genuine challenges in the environment. Suitable monitoring is necessary so that the world can achieve sustainable growth, by maintaining a healthy society. In recent years, the environment monitoring has turned into a smart environment monitoring (SEM) system, with the advances in the internet of things (IoT) and the development of modern sensors. Under this scenario, the present manuscript aims to accomplish a critical review of noteworthy contributions and research studies on SEM, that involve monitoring of air quality, water quality, radiation pollution, and agriculture systems. The review is divided on the basis of the purposes where SEM methods are applied, and then each purpose is further analyzed in terms of the sensors used, machine learning techniques involved, and classification methods used. The detailed analysis follows the extensive review which has suggested major recommendations and impacts of SEM research on the basis of discussion results and research trends analyzed. The authors have critically studied how the advances in sensor technology, IoT and machine learning methods make environment monitoring a truly smart monitoring system. Finally, the framework of robust methods of machine learning; denoising methods and development of suitable standards for wireless sensor networks (WSNs), has been suggested.

scholarly journals Big Data Storage in the Cloud for Smart Environment Monitoring

2015 ◽  
Vol 52 ◽  
pp. 500-506 ◽  
Author(s):  
M. Fazio ◽  
A. Celesti ◽  
A. Puliafito ◽  
M. Villari
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Big Data Storage

scholarly journals A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications

Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 365 ◽  
Author(s):  
Diego Antolín ◽  
Nicolás Medrano ◽  
Belén Calvo ◽  
Francisco Pérez
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Safety Applications

scholarly journals NETWORKING LAYER FOR THE EVOLUTION OF MARITIME PORTS INTO A SMART ENVIRONMENT

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 251-257
Author(s):  
A. Haidine ◽  
A. Ait-Allal ◽  
A. Aqqal ◽  
A. Dahbi
Keyword(s):  
Critical Role ◽  
Smart Environment ◽  
Environment Monitoring ◽  
The European Union ◽  
Layered Model ◽  
Communication Layer ◽  
Networking Technologies ◽  
Hierarchical Communication ◽  
Maritime Environment ◽  
Smart Port

Abstract. The maritime transport is playing an increasing and critical role on the worldwide trade; because it guarantee the delivery of 80% of the goods worldwide. The maritime ports are the articulation of the maritime transports, and therefore are responsible of (long delay in the ports means high risks for goods deterioration, higher costs for the logistics companies, longer occupation of containers for containers management companies, etc. In recent years some publications are talking about smart ports. In this paper we take some of the most recent models of smart port, and propose some extensions by considering the recent recommendations from International Maritime Organization (IMO), which have been translated and issued legislation frameworks by the European Union, such as maritime environment monitoring, air pollution, etc. In the recent years, any “smart” environment is modeled through an Internet-of-Things (IoT) layered model. Thus, we discuss the model of smart port environment as IoT layered model, where the networking/communications layer plays the core role. Furthermore, we analyse the possible networking technologies which could support the different smart domains building the smart port environment. This is achieved by first defining the different sub-layers of the hierarchical communication layer, and then comparing different technologies for building the broadband mobile sub-layer.

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