The Internet of Things (IoT) has developed tremendously over the past few years and has proven its worth in many areas of activity. With regard to environmental air quality monitoring, there are more and more products and applications that try to gather as much data as possible about all the pollution factors in a given area. This paper aims to present a new method of using devices capable of communicating with each other using the LoRa communication protocol to report to a real-time central server on environmental air quality. The innovation of this paper is the fact that it is implemented using a developed LoRa localization protocol, which connects an air quality sensor network, using only the low power of the LoRa technology by applying a multilayer algorithm to the gateway timestamps from received packages. The so created LoRaWAN tracking system is able to exploit transmitted packets to calculate the current position without using GPS or GSM that are high power consumers.
With the intensification of traffic in large urban agglomerations, the need for monitoring of environmental parameters is increasingly being observed and more and more efficient solutions are being sought for taking over and processing these data. It is proposed to build a network of sensors mounted on electric vehicles to be used to create an interactive map of environmental pollution in urban areas. It has often been observed that motorized air quality monitoring platforms are propelled by conventional gasoline or diesel engines and therefore also produce significant pollution factors that can alter data taken over by the sensor network. The use of an electrical monitoring system has as a major benefit greater accuracy in retrieving data from pollution detectors as it does not appear in the data taken and the influence of classic monitoring system pollution using a classic propulsion platform. It is also proposed that efficient communication algorithms be made between the sensor networks to take data on the quality of the environment.
The paper identifies the possible energy sources that an electric vehicle can use during its operation to increase energy autonomy. The identified sources are modeled and simulated, and the results are interpreted in terms of viability. The paper presents the constructive principles of a power regeneration system consumed by an electric vehicle during operation to increase its autonomy. It also identifies the possible energy sources that an electric vehicle can use during its operation. The concepts of electricity regeneration are modeled and simulated, and the results are interpreted in terms of viability.
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