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Wireless Sensor Networks Integration Into Internet Of Things
Abstract:
Wireless sensor networks usually consist of a large number of sensor nodes forming a network. Sensor nodes are miniature autonomous devices with very limited resources, capable of collecting and processing data from the surrounding area, and transmitting this data wirelessly over short distances via radio transmitters. The range of wireless sensor networks applications varies from the environment monitoring and detecting forest fires, climate changes monitoring, tele-health monitoring, detecting toxic fumes in factories, to smart sensor systems in the car. With the emerging technology of Internet of Things, the importance and number of applications of wireless sensor networks are increasing every day. Wireless sensor networks are one of the most important parts of the whole Internet of Things concept. The main idea of Internet of Things is to provide smart world, where every device has built-in intelligence, and is connected to other devices in the environment. As such, Internet of Things basically integrates the world of information with real devices, and enables us to have immediate access to this information. Wireless sensor networks provide aspect of surveillance, physical phenomena detection, environment monitoring and remote access to Internet of Things. This paper surveys the current state of the art of wireless sensor networks and Internet of Things, presents challenges of integrating two technologies together, and gives an overview of the new applications of wireless sensor networks in the scope of Internet of Things.
CITATION:
IEEE format
M. Živković, T. Živković, “Wireless Sensor Networks Integration Into Internet Of Things,” in Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2017, pp. 115-120. doi:10.15308/Sinteza-2017-115-120
APA format
Živković, M., Živković, T. (2017). Wireless Sensor Networks Integration Into Internet Of Things. Paper presented at Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2017-115-120
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