@MASTERSTHESIS{ 2019:774955577,
 	title = {IoT-Based solution for disease vector mosquito monitoring},
 	year = {2019},
 	url = "https://tede.inatel.br:8080/tede/handle/tede/193",
 	abstract = "The study of acoustic properties of flying insects wingbeats allowed advances of sensing mosquitoes in free flight. The determination of particular wingbeats frequencies and respective harmonics of each species is the basis of frequency spectrum analysis approach in acoustic and optical traps for mosquitoes detection in the field. Studies based on acoustic devices, microphones, amplifiers, and recorders have generated great contributions and database. However, it was only when optical approaches were deployed in the detection of flying insects that sensor devices became smaller, faster, self-triggered, and more reliable and energy efficient. These benefits enable the State of the Art to move towards smarter mosquito traps that automatically
 process data and have greater autonomy in inaccessible locations. In this context, the Internet
 of Things is a promising new paradigm for the development of solutions in the monitoring of
 mosquito swarms. This work consists, at first, of a deeply literature review on automated electronic
 sensors for mosquito detection and proposes open issues and opportunities for the State
 of the Art in expanding scenarios considering new emerging technologies, as the Internet of
 Things. Another objective of the research is the selection of adequate sensing technologies, for
 energy consumption and data processing optimization. In this way, it proposes a new solution
 for mosquitoes monitoring based on Internet of Things, from the design of the sensor hardware
 to the most appropriate communication protocol.",
 	publisher = {Instituto Nacional de Telecomunica??es},
 	scholl = {Mestrado em Engenharia de Telecomunica??es},
 	note = {Instituto Nacional de Telecomunica??es}
}