Optimized algorithm for node address assigning in a large-scale smart automation environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014787" target="_blank" >RIV/62690094:18450/18:50014787 - isvavai.cz</a>
Alternative codes found
RIV/62690094:18470/18:50014787
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-98446-9_29" target="_blank" >http://dx.doi.org/10.1007/978-3-319-98446-9_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-98446-9_29" target="_blank" >10.1007/978-3-319-98446-9_29</a>
Alternative languages
Result language
angličtina
Original language name
Optimized algorithm for node address assigning in a large-scale smart automation environment
Original language description
The aim of this paper is to introduce an automatic assigning algorithm for a smart building system. Although the addition of a new device to a system always needs some actions such as assigning of an address and setting up specified parameters, none of the current solutions have automated this problem. This paper will describe a Home Automation System (HAuSy) framework with an automatic wireless node addressability process for use in large buildings, such as smart hotels. An optimized algorithm to automatically assign a large number of nodes in a smart building environment will be presented. This algorithm will be benchmarked in simulated tests. Finally, the benefits and possible extensions of this algorithm are discussed at the end of this article.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture notes in computer science
ISBN
978-3-319-98445-2
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
11
Pages from-to
311-321
Publisher name
Springer
Place of publication
Berlin
Event location
Bristol
Event date
Sep 5, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—