IoT time critical applications for environmental early warning
George Dan Suciu, Muneeb Anwar, Alexandru Ganaside, Andrei Scheianu · 2017
Catastrophes and accidents could look out for us at every moment leading to unhappy and expensive material damage or worse, to inevitable tragedies. Preventing this kind of events is a must that is taking long sessions of research, tries and development. In most cases, the cheapest and most optimized solution, which makes use of resources economically, is the one that many experts are looking for. This paper is a general overview focusing on environmental warnings, such as deforestation implying both the natural and artificial causes that stands at its basis and on analyzing and proposing some systems with both of their advantages and disadvantages. The relation of the given systems examples and the new trend of IoT (Internet of Things) is made up by cloud computing, crowdsourcing and edge computing used for filtering the most time-sensitive data from huge amount of data coming from the end devices. In addition, the paper presents some information related to climate changes and the way they affected the environment, national monitoring of these changes and the emission factor in the forests with possible solution for reducing it.