Title :
SMuNe: A Smart Multisensor Network Based on Embedded Systems in IoT Environment
Author :
Angelo Chianese;Francesco Piccialli;Giuseppe Riccio
Author_Institution :
Dept. of Electr. Eng. &
Abstract :
Nowadays embedded systems have reached a great level of maturity and diffusion thanks to their small size, low power consumption, large connectivity and variety of application in everyday contexts. These systems, if properly structured and configured, can significantly increase the smartness of the environments where they are deployed, monitoring and continuously collecting data to be processed and elaborated. Such operations can be correctly executed, especially in large locations, if several embedded systems nodes are deployed under the design of an intelligent network. This paper presents SMuNe, a Smart Multisensor Network based on the BeableBone Black platform, a complete open hardware and software embedded computer, the challenge is to create a multi-purpose hierarchical network composed by smart nodes able to gain and manage heterogeneous data and spaces according to the Internet of Things (IoT) paradigm. As a proof of the effectiveness of SMuNe we conducted an experimentation within the Cultural Heritage domain, in detail we deployed SMuNe within a sculptures exhibition named "The Beauty or the Truth" in the monumental site of San Domenico Maggiore in Naples, Italy.
Keywords :
"Cultural differences","Monitoring","Libraries","Computers","Hardware","Wireless sensor networks","Embedded systems"
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2015 11th International Conference on
DOI :
10.1109/SITIS.2015.51