scholarly journals EMAS: Environment Monitoring and Smart Alert System for Internet of Things (IoT)

2021 ◽  
Author(s):  
Rabia Noor Enam ◽  
Muhammad Tahir ◽  
Syed Muhammad Nabeel Mustafa ◽  
Rukaiya Rukaiya
Keyword(s):  
Internet Of Things ◽  
Power Efficiency ◽  
Text Message ◽  
Field Tests ◽  
Optimization Techniques ◽  
Environment Monitoring ◽  
Smart Systems ◽  
Package Delivery ◽  
Wireless Environment ◽  
Critical Change

Abstract The emergence of wireless sensor networks has enabled new classes of application for distributed systems that filter into many inter disciplinary fields. In the recent years, wireless technology has come up with great advancements and is supposed to be a great venture for the researchers. The recent advancements open up many significant energy optimization techniques in Internet of Things. The smart systems can now achieve paramount level of control of user comfort while reducing use of energy. Our main purpose is to construct smart Environment Monitoring and Surveillance system (EMAS). The system periodically measures temperature, light and humidity levels of the atmosphere. When a critical change in the environmental variables is detected, the EMAS system can notify the user via text message on their cell phone. Thus, they will be able to act to critical changes as quickly as possible and it may be able to intercept effects of the critical change. Results are obtained in the field tests reasonably ensuring that the proposed EMAS system possess excellent package delivery high power efficiency. The main goal of this paper is to bring more robustness and enhanced features in the wireless environment monitoring system.

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 IOT BASED APPROACH FOR REMOTELY MONITORING AND ALARMING A DROWSY DRIVER

2021 ◽  
pp. 76-83
Author(s):  
Mr. Aniket Ashok Bhamani ◽  
Mr. Sanyam Sanjay Mehta
Keyword(s):  
Internet Of Things ◽  
Text Message ◽  
Road Accidents ◽  
Voice Call ◽  
Drowsy Driving ◽  
The Road ◽  
Car Crash ◽  
Falling Asleep ◽  
Commercial Drivers ◽  
Cross Platform

There are a lot of road accidents that occur due to drowsy driving. Drowsy driving is when the driver of a vehicle is found to be sleepy and probable to get into a car crash because of the same. Being drowsy might cause the driver to lose concentration from the road, and also reduce the reaction time. Statistics suggest how thousands of deaths and crashes happen every year due to it. Major victims of such crashes tend to be the commercial drivers who need to drive long distances overnight. Our project intends to propose a solution to this problem by providing an Internet of Things based approach. This approach monitors the driver’s face while he or she is driving the vehicle and in case if the driver is to be found falling asleep, an instant voice call is made to the driver’s registered phone number. Additionally, a text message is also sent to the driver’s emergency contact which will get him/her notified and provide the driver with quick assistance if needed. This approach is unique and different in its own way as it provides cross platform support and remote monitoring of the driver. Additionally, it also makes drowsy-detection ‘device independent’. It offers a simplified mechanism to derive real time accurate results and readings with reduced complexities. This project does have a lot of scope, especially considering that there is a lack of methodologies currently being implemented to prevent road accidents due to drowsy driving. KEYWORDS- Drowsy Driving, Monitoring, Machine Learning, Internet of Things, Remote, Algorithm, Eye Aspect Ratio, Python.

scholarly journals A REVIEW OF MULTI HOMING AND ITS ASSOCIATED RESEARCH AREAS ALONG WITH INTERNET OF THINGS (IOT)

2019 ◽  
Vol 01 (01) ◽  
pp. 69-76
Author(s):  
Krishnaraj Natarajan ◽  
Smys S
Keyword(s):  
Internet Of Things ◽  
Communication Technology ◽  
Recent Trend ◽  
Wireless Sensor ◽  
New Era ◽  
Smart Systems ◽  
Multiple Networks ◽  
Research Areas ◽  
Fast Pace ◽  
Critical Process

With the ever increasing research in communication technology, smart systems and gadgets are emerging at a very fast pace. A recent trend is the research in internet of things (IoT) which facilitates access of information and services at any point of time around the globe thus elevating the process of digitization to a new era. Multi homing is a concept which facilitates connection of a user over multiple networks. These networks may be heterogeneous or homogeneous. This concept of multihoming acts as a strong backbone to wireless sensor networks where routing of information over the links and channels is quite a critical process. The routing of information from source to destination defines the overall accuracy of the entire wireless network. This efficiency largely dictated by an efficient routing process is influenced by many factors which include node efficiency, node lifetime, and the characteristics of the link between the nodes.

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