Signal Processing and the Internet of Things [From the Guest Editors]

Autor:	Konstantinos Kostas N. Plataniotis, Nic Lane, Chenren Xu, Yan Lindsay Sun
Rok vydání:	2018
Předmět:	business.industry End user Computer science Gateway (telecommunications) Applied Mathematics Cloud computing World Wide Web Leverage (negotiation) Signal Processing The Internet Electrical and Electronic Engineering Architecture business Everyday life Range (computer programming)
Zdroj:	IEEE Signal Processing Magazine. 35:13-15
ISSN:	1558-0792 1053-5888
DOI:	10.1109/msp.2018.2846838
Popis:	The notion of the Internet of Things (IoT) has emerged as a last-mile solution for connecting various cyber technologies to our everyday life. It envisions a three-tier architecture where highly distributed and heterogeneous sensor data will be collected through a gateway and made available to the Internet to be readily accessible for a wide range of applications. Today, with ever increasing types of IoT devices as well as the growing demand being placed on the end user, the sensing platform, and the computing and storage infrastructure, more is being asked of engineers, designers, and scientists. Discusses how we can leverage today’s pervasive cloud and network infrastructure to foster more intriguing applications with more demanding signal processing and machine learning techniques.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b9d80d08da88cb9c1eceae058529afa4 https://doi.org/10.1109/msp.2018.2846838 Zobrazit plný text záznamu